Academic literature on the topic 'Intelligence specialists'
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Journal articles on the topic "Intelligence specialists"
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Musatova, S. A. "Role of emotional intelligence in PR specialist’s career." Vestnik Universiteta, no. 10 (December 7, 2023): 256–62. http://dx.doi.org/10.26425/1816-4277-2023-10-256-262.
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The article studies the relevance of the problems of emotional intelligence (EI) in the framework of PR-specialist’s career. The article presents concepts of emotional intelligence from the point of understanding specifics of the phenomenon, considers the typology of EI models, and investigates the problem of measuring emotional intelligence and prospects for developing this type of intelligence in PR-specialists. Emotional intelligence is a person’s ability to recognize and understand their own emotions, explain them, and, using the same ability, understand emotional reactions of others. The role of EI in PR-specialist’s career from the point of competence approach to professional activity has been considered. Vacancies content analysis data with employers’ requirements to the PR-specialist position have been compiled, table of references to personal qualities that can be attributed to the EI sphere made, and theoretical analysis of emotional intelligence carried out.
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Katsuki, Masahito, Tomokazu Shimazu, Shoji Kikui, Daisuke Danno, Junichi Miyahara, Ryusaku Takeshima, Eriko Takeshima, et al. "Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists’ diagnostic accuracy." Cephalalgia 43, no. 5 (April 18, 2023): 033310242311569. http://dx.doi.org/10.1177/03331024231156925.
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Background Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artificial intelligence-based headache diagnosis model using a large questionnaire database in a specialized headache hospital. Methods Phase 1: We developed an artificial intelligence model based on a retrospective investigation of 4000 patients (2800 training and 1200 test dataset) diagnosed by headache specialists. Phase 2: The model’s efficacy and accuracy were validated. Five non-headache specialists first diagnosed headaches in 50 patients, who were then re-diagnosed using AI. The ground truth was the diagnosis by headache specialists. The diagnostic performance and concordance rates between headache specialists and non-specialists with or without artificial intelligence were evaluated. Results Phase 1: The model’s macro-average accuracy, sensitivity (recall), specificity, precision, and F values were 76.25%, 56.26%, 92.16%, 61.24%, and 56.88%, respectively, for the test dataset. Phase 2: Five non-specialists diagnosed headaches without artificial intelligence with 46% overall accuracy and 0.212 kappa for the ground truth. The statistically improved values with artificial intelligence were 83.20% and 0.678, respectively. Other diagnostic indexes were also improved. Conclusions Artificial intelligence improved the non-specialist diagnostic performance. Given the model’s limitations based on the data from a single center and the low diagnostic accuracy for secondary headaches, further data collection and validation are needed.
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Rajasinghe, Hiranya A., Larry E. Miller, Santiago H. Chahwan, and Alvaro J. Zamora. "Underutilization of Artificial Intelligence by Vascular Specialists." Annals of Vascular Surgery 61 (November 2019): 2–3. http://dx.doi.org/10.1016/j.avsg.2019.10.006.
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Shlivko, Irena L., Oxana Ye Garanina, Irina A. Klemenova, Kseniia A. Uskova, Anna M. Mironycheva, Veniamin I. Dardyk, and Viktor N. Laskov. "Artificial intelligence: how it works and criteria for assessment." Consilium Medicum 23, no. 8 (August 15, 2021): 626–32. http://dx.doi.org/10.26442/20751753.2021.8.201148.
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Artificial intelligence is a term used to describe computer technology in the modeling of intelligent behavior and critical thinking comparable to that of humans. To date, some of the first areas of medicine to be influenced by advances in artificial intelligence technologies will be those most dependent on imaging. These include ophthalmology, radiology, and dermatology. In connection with the emergence of numerous medical applications, scientists have formulated criteria for their assessment. This list included: clinical validation, regular application updates, functional focus, cost, availability of an information block for specialists and patients, compliance with the conditions of government regulation, and registration. One of the applications that meet all the requirements is the ProRodinki software package, developed for use by patients and specialists in the Russian Federation. Taking into account a widespread and rapidly developing competitive environment, it is necessary to soberly treat the resources of such applications, not exaggerating their capabilities and not considering them as a substitute for a specialist.
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Sorokina, G. P., E. A. Dolgikh, and T. A. Pershina. "Competence analysis of artificial intelligence professionals." Vestnik Universiteta, no. 4 (June 1, 2022): 81–89. http://dx.doi.org/10.26425/1816-4277-2022-4-81-89.
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In the conditions of digitalisation, it is necessary to have the appropriate skills. Therefore, many applicants choose occupations in which information technology (IT) and programming knowledge is predominant. Comprehensive measures for preparing graduates in the context of digitalisation cover the formation of appropriate educational programmes. The aim of the study is to provide recommendations for improving the educational process in the field of artificial intelligence (AI) and machine learning based on comparing various programmes affecting the training of professionals in this field. The research uses the following methods. First, it is a sample survey, due to which 4 Russian universities that provide training in programmes in IT, are selected. Second, this is grouping and typology of basic educational curricula, professional standards and disciplines, due to which appropriate typological groupings, are constructed. That allows specifying requirements for knowledge, skills, and abilities necessary for specialists in the field of AI. A comparative analysis of professional standards taking into account the work of a modern specialist with digital skills has been carried out. The competence approach in the educational process has been defined, and the need for a professional standard for IT specialists has been identified. Based on the results obtained, recommendations have been prepared on the basic disciplines that need to be included in the educational programmes of universities to prepare competitive graduates.
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Zaytsev, Sergey V. "CYBERSECURITY ISSUES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING METHODS." SOFT MEASUREMENTS AND COMPUTING 7/2, no. 68 (2023): 48–61. http://dx.doi.org/10.36871/2618-9976.2023.07-2.006.
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Since the middle of the last century, the active development of artificial intelligence (AI) technologies has begun. However, with the development of this technology, people realized that they did not have such an opportunity, since the human brain is multifaceted and complex. However, we can approach those mental abilities that are routine for a person, but require long and monotonous work. AI wins a person in the speed of processing a large amount of the same type of information. Where a cybersecurity specialist will have to sit for a long time and look at the same information, AI can cope in minutes or even seconds. In the presence of competent specialists, this technology has a great potential for development. There are already technologies for finding vulnerabilities using machine learning. They help companies and cybersecurity specialists respond more quickly to cyber attacks. The essential advantages of such programs are the speed of response to the threat. At the present stage of development, machines can monitor and analyze typical user behavior, even the usual keyboard shortcuts that he uses in his work.
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Shumkov, Ihor. "The State of Formation of Professional Competence of Future Military Intelligence Specialists in the Informational and Educational Environment Higher Military Educational Institution (HMEI)." Educological discourse 43, no. 4 (2023): 169–79. http://dx.doi.org/10.28925/2312-5829.2023.410.
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The article examines certain features of the training of future military intelligence officers, taking into account the specifics of their future professional activity, the organization of the educational process, and the conceptual principles of their training in higher military educational institutions. The state of formation of the professional competence of future military intelligence specialists in the informational and educational environment of HMEI was clarified. The purpose of the article is to study the state of formation of professional competence of future military intelligence specialists in the information and educational environment of HMEI The research, in accordance with the tasks and the verification of the initial assumptions, used the following research methods that complemented each other: conversations, analysis, synthesis, comparison, induction, deduction, generalization, systematization, interviewing, questionnaires, testing, diagnostics to study the state problems and ascertaining the state of formation of professional competence of future specialists. The results. It has been found that the professional training of future military intelligence specialists at a higher military educational institution needs further adjustment, identification of organizational and pedagogical conditions for the formation of professional competence of future military intelligence specialists in the information and educational environment of HMEI, improvement of the information and educational environment of HMEI, improvement of the implementation of digital technologies in the organization of the educational process of HMEI, the development of educational and methodological complexes for the training of future military intelligence specialists. Conclusions. Thus, the formation of professional competence of future military intelligence specialists should be oriented towards the creation of a favorable information and educational environment of higher education institutions with the introduction of information and digital tools, interactive teaching methods, updating of educational and methodological support in accordance with the requirements of educational services in the field of military education, improvement of pedagogical psychological approaches to the educational process to acquire thorough professional skills and practical skills for future professional activity.
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Rajasinghe, Hiranya A., Larry E. Miller, Santiago H. Chahwan, and Alvaro J. Zamora. "TOI 2. Underutilization of Artificial Intelligence by Vascular Specialists." Journal of Vascular Surgery 68, no. 5 (November 2018): e148-e149. http://dx.doi.org/10.1016/j.jvs.2018.08.099.
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Kovalchuk, Vasyl, Ivan Prylepa, Oleksandra Chubrei, Inna Marynchenko, Vitalii Opanasenko, and Yevhenii Marynchenko. "Development of Emotional Intelligence of Future Teachers of Professional Training." International Journal of Early Childhood Special Education 14, no. 1 (March 17, 2022): 39–51. http://dx.doi.org/10.9756/int-jecse/v14i1.221006.
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The problem of the development of emotional intelligence of future specialists in vocational education is investigated. It is established that emotional intelligence is the subject of scientific knowledge of modern domestic and foreign research. Based on the analysis of scientific and pedagogical works of scientists and the real practice of emotional intelligence, it is established that the modern labor market needs workers with a set of technical, soft, and social skills that can change according to the requirements associated with work. It has been proven that investing in skills development is critical in a country's economic growth and competitiveness. Among the necessary skills of a modern specialist, we have identified: comprehensive problem solving, critical thinking, mobility, creativity, leadership, time management, coordination with others, emotional intelligence, judgment and decision making, guidance service, negotiation, cognitive flexibility. At the theoretical level, the psychological features of the formation of emotional intelligence of future professionals in the specialization 015.36 - Vocational education are substantiated, the technology of light industry products and 015.37 - Vocational education. Agricultural production, processing of farm products, and food technology have scientifically identified ways to form emotional intelligence (involving future teachers of vocational training in various activities: game, project, cooperative, research; establishing parity in the system of interaction "student - student," "teacher - group of students," "student - group of students "; introduction of active teaching methods ("openwork saw," "pyramid," "brainstorming," etc.). The article substantiates the need and possibilities of forming the emotional intelligence of the future specialist during the student period.
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Raheja, Saloni, and Babli Dhiman. "How do emotional intelligence and behavioral biases of investors determine their investment decisions?" Rajagiri Management Journal 14, no. 1 (May 4, 2020): 35–47. http://dx.doi.org/10.1108/ramj-12-2019-0027.
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Purpose In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making. Design/methodology/approach The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination. Findings The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros. Research limitations/implications The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results. Practical implications This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options. Social implications This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions. Originality/value This study is my own study and it is original and has not been published anywhere.
Dissertations / Theses on the topic "Intelligence specialists"
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Pope, Derwin Brent. "Predictors of acquisition of Russian language listening skills by army intelligence specialists." Diss., Virginia Tech, 1991. http://hdl.handle.net/10919/39863.
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Tawodzera, Wilson. "Competitive intelligence specialist expertise in the Zimbabwean banking sector : hidden talent? : a case study of Steward Bank Zimbabwe." Thesis, Nottingham Trent University, 2018. http://irep.ntu.ac.uk/id/eprint/33843/.
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What has been an enduring gap in both research and practice since the McKinsey consultants first published their report on 'The war for talent' in 1998 as a response to rising competition between organisations globally, is the lack of talent management systems where professional rather than leadership talent is recognised. By focusing on the competitive intelligence specialist role, this study explores how a seemingly strategic professional role is framed in the context of organisational talent within the banking sector of Zimbabwe. It is noteworthy that the modern thinking around talent management in organisations has been dominated by research done in United States of America (US), Europe and Asia with a focus on multinational and private organisations (Thunnissen et al., 2013a: 1745). Of notable concern is the lack of empirical efforts towards talent management within the African continent, even more so in the context of the banking sector, and this study is an attempt to address this gap. By using a conceptual framework derived from a critical review of competitive intelligence specialist and talent management literature, the study uses qualitative methods to collect research data from the case study bank, namely Steward Bank. To illuminate how the research participants framed the research phenomenon, frame analysis was adopted and achieved through the analytical use of a signature matrix consisting of two elements: rhetorical framing devices and rhetorical reasoning devices. Contrary to the research expectations, in this case study, the competitive intelligence specialist activities are not embedded in specific roles but instead are dispersed across the organisations in different departments. This setup is attributed to the dispersed nature of the requisite knowledge resident in different parts of the organisation. It is clear from the findings that competitive intelligence specialist activities are recognised as a key differentiator to organisational performance, and arguably deserve to be recognised as talent. However, the formal talent management system does not recognise competitive intelligence specialist activities as organisational talent, thereby pointing to rhetorical obfuscation by participants. Furthermore, different aspects of how talent is defined emerged ranging from an innate view of talent, with some going further to attribute talent as a gift from God, to an acquired view of talent where participants suggest that the more they practice competitive intelligence activities, the more expertise they tend to gain. Based on findings of this study, it is argued that organisations will benefit more from a holistic approach to talent management, which not only includes key strategic leadership roles but also incorporates key strategic specialist roles and key strategic specialist activities similar to the competitive intelligence specialist activities. Also, both academics and practitioners need to reconsider the institutionalisation of competitive intelligence and incorporate the dispersed competitive intelligence activities approach. By successfully applying frame analysis, this study has also heightened the notion of frame signature matrix as a data analysis technique for identifying how actors frame certain phenomenon within the organisational context.
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Confland, Daniel. "Economie de l'information specialisee revue des problematiques et des questions vives." Paris 8, 1996. http://www.theses.fr/1996PA081183.
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2 000 caracteres maximum espaces compris. En cas de depassement la coupure sera automatique. L'information specialisee (is en abrege) concerne l'information utile aux professionnels dans leur environnement de travail. L'analyse theorique et experimentale de l'is comme ressource et comme bien economiques est soumise a des difficultes qui tiennent a sa nature intrinseque. Types d'is et variete des usages influent egalement sur l'economie de l'is. A ce niveau, la question de la valeur parait centrale. Les fonctions de l'is dans l'economie - alerte, regulation, organisation et accompagnement de la production, diffusion et transfert - sont essentielles a la vision strategique de l'entreprise, a ses capacites d'anticipation et d'innovation. Parmi les obstacles a la penetration de l'is dans l'economie figurent les problemes de retention, de pertinence, de qualite. La structure des organisations - y compris au plan informationnel - joue un role primordial. A cet egard, les questions de marchandisation et d'industrialisation de l'information disponible sur le marche ne peuvent etre separees de celles des modes d'integration de l'is dans l'entreprise. L'evolution du marche des produits et services est aussi determinee par les facteurs de coherence et d'integration qui sous-tendent le developpement des technologies, notamment dans les domaines des reseaux, du multimedia, de l'edition electronique. Le dynamisme du marche et de la consommation depend, d'autre part, des conditions de mise ne relation de l'offre et de la demande. Sur ce plan, les questions d'intermediation et de formation a l'utilisation revetent une importance particuliere. Une approche synthetique de l'economie de l'is peut progresser dans deux directions. L'une concerne l'intelligence economique dont la demarche, a la fois strategique et operationnelle, peut etre qualifiee d'infoglobalisme. L'autre dans le champ de la recherche, vise a renforcer le cadre theorique par le fertilisation croisee des apports des sciences de la gestion et du management avec ceux des sciences de l'informationSpecialised information (si) concerns information useful to professionals in their working environment. The theoretical and experimental analysis of si as a resource and an economic asset is subject to certain intrinsic difficulties. Different types ans uses of si also influence its structure. At this level, the question of value appears to be predominant. The fonctions of si in the economy - alert, regulation, production organisation and support, distribution and transfer - are essential to the strategic vision of the company, and also to its capacity to anticipate and to innovate. Among the obstacles to the penetration of si into the economy are the problems of retention, relevance and quality. The structure of organisations, including their information structure, is of the utmost importance. In this respect, the questions of merchandising, industrialising of the information available on the market cannot be separated from those of integrating si into the company. The evolution of the market in goods and services is also determined by the factors of coherence and integration which underlie the development of technologies, notably in the fields of networking, multimedia and electronic publishing. On the other hand, the dynamism of the market and of consumption depends on the way supply and demand are logged. Here, the questions of inter-mediation and training assume special importance. A unifying approach to the organisation of si can go in two directions. One of them concerns competitive intelligence, and may be considered as infoglobalism, as its process is both strategic and operational. The other, in the field of research, aims to reinforce the theoretical framework by cross-fertilising the contributions of management science and of information science
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Williams, Julia Margaret. "A qualitative exploration of the transmission of knowledge and skills by specialist stoma care nurses to facilitate the needs of patients adapting to a newly formed stoma." Thesis, King's College London (University of London), 2016. https://kclpure.kcl.ac.uk/portal/en/theses/a-qualitative-exploration-of-the-transmission-of-knowledge-and-skills-by-specialist-stoma-care-nurses-to-facilitate-the-needs-of-patients-adapting-to-a-newly-formed-stoma(73cb8634-e86e-40f5-85c5-bf5a1aaec2be).html.
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Aim: To identify the knowledge and skills required by the specialist stoma care nurse to facilitate the needs of patients adapting to a newly formed stoma in order to inform specialist nurse education. Background: Advances in surgical techniques, drug therapies, bowel screening and patient recovery programmes have offered those with colorectal disorders, a potential increased life expectancy and improved disease management. For the specialist nurse, there is the constant challenge to keep abreast of these advances and provide more formal, precise and accurate information, facilitating individualised patient need. In response, an education curriculum needs to foster a comprehensive knowledge base in order to equip and support the nurse to become confident and competent in clinical practice. How knowledge is translated from the classroom into clinical practice is a key feature of this study; in particular the role of the specialist stoma care nurse in facilitating the adaptation of patients following stoma surgery. Method: A qualitative approach was chosen to fulfil the aim and objectives of this two-staged study. Phase one took a phenomenological approach and phase two a focus group methodology approach. Eight patients were interviewed in phase one. This offered insight into the experiences of living with a newly formed stoma. Vignettes (total 18) were created from the patients’ narratives. These were used to stimulate discussion among nurses at the focus groups within phase two of the study. The complexities of translating specialist knowledge and skills among thirty-nine specialist stoma care nurses were explored through one of a series of seven focus groups. The analysis for this study was undertaken in 3 stages; stage 1, thematic analysis of phase 1, stage 2, thematic analysis of phase 2 and stage 3, further analysis of phase 2 using Mayer and Salovey (1997) emotional intelligence theoretical framework. Findings: Phase one highlighted a variety of challenges faced by patients and recognised their coping strategies as they adapted to a newly formed stoma. Six themes emerged from the thematic analysis; seeking assurances, permanence versus reversibility of stoma, anticipated stigma, psychological projection, worthwhile sacrifice and sense of achievement. The thematic analysis of phase two identified five comparable themes; skilled know-how, understanding self, hurdles to accommodate, communication skills and uncertain ground. A further examination through an alternative lens was considered to distil the pedagogy. Mayer and Salovey (1997) emotional intelligence framework guided the third stage of analysis. Five key concepts emerged, forming the essential components to specialist nursing practice; the influence of emotions on critical thinking and clinical decision-making, the use of empathetic and intuitive skills in clinical judgements, the ability to balance true self alongside professional self, the need to foster cognitive activity, good communication and creativity and preserving a conscious awareness of self so to develop personal growth. Conclusion: Individual experiences of patients adapting to a newly formed stoma evidently differed. Both the challenges faced and coping strategies of the patients were revealed. The specialist stoma care nurse is ideally placed to facilitate meeting the patients’ needs as they adapt. The five essential components to specialist practice are identified. Educational strategies for cultivating critical thinking and communication skills, developing self and emotional conscious awareness and nurturing personal growth need to be considered for integration into specialist nurse educational curriculum.
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Neto, Ajalmar RÃgo da Rocha. "SINPATCO - Sistema Inteligente para DiagnÃstico de Patologias da Coluna Vertebral." Universidade Federal do CearÃ, 2006. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2069.
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nÃo hÃEsta dissertaÃÃo apresenta os resultados de um sistema de auxÃlio ao diagnÃstico mÃdico implementado atravÃs de classificadores estatÃsticos e neurais. O Sistema Inteligente para DiagnÃstico de Patologias da Coluna Vertebral (SINPATCO) à composto por trÃs subsistemas, a saber: interface grÃfica, classificaÃÃo de patologias e extraÃÃo de conhecimento. O mÃdulo de interface grÃfica permite uma interaÃÃo amigÃvel com o especialista mÃdico. O mÃdulo de classificaÃÃo automÃtica de patologias à implementado por diferentes algoritmos, tais como discriminantes linear e quadrÃtico, Naive Bayes, K-Vizinhos mais PrÃximos (KNN), rede MLP, rede SOM e rede GRNN. O mÃdulo de extra ÃÃo de conhecimento à responsÃvel pela extraÃÃo de regras proposicionais a partir dos classificadores treinados, a fim de elucidar para o mÃdico ortopedista como o classificador chega ao diagnÃstico final. Em particular, o mÃdulo de classificaÃÃo de patologias da plataforma SINPATCO utiliza atributos biomecÃnicos recentemente propostos para efetuar a categorizaÃÃo de um paciente em trÃs classes: pacientes normais, pacientes com espondilolistese e pacientes com hÃrnia de disco. Os diversos classificadores supracitados sÃo comparados com relaÃÃo à taxa de acerto, nÃmero de falsos positivos, nÃmero de falsos negativos e sensibilidade a amostras discrepantes (outliers). As contribuiÃÃes deste trabalho sÃo variadas, indo desde do fato de ser provavelmente o primeiro a usar um conjunto recente de atributos biomecÃnicos para projeto de classificadores na Ãrea de medicina ortopÃdica, passando pelo estudo comparativo do desempenho de vÃrios classificadores, atà a extraÃÃo de regras a partir dos classificadores com melhor desempenho para explicar o diagnÃstico obtido ao mÃdico, para posterior avaliaÃÃo. Atà onde se tem conhecimento, a combinaÃÃo destas trÃs contribuiÃÃes torna o sistema SINPATCO inovador na Ãrea de ortopedia mÃdica, servindo de auxÃlio na atividade de diagnÃstico e facilitando o trabalho dos profissionais dessa Ãrea. AlÃm servir como ferramenta de auxÃlio ao diagnÃstico do mÃdico especializado em ortopedia, o sistema SINPATCO pode ser usado por clÃnicos nÃo-especialistas em ortopedia, a fim de minimizar a carÃncia de ortopedistas em regiÃes remotas, agilizando o atendimento e o encaminhamento do paciente para centros mais desenvolvidos.
This dissertation presents the results obtained from a computer-aided medical diagnostic system implemented through statistical and neural pattern classifiers. The Intelligent System for Diagnosis of Pathologies of the Vertebral Column (SINPATCO) has a modular architecture and is composed of three subsystems, namely: graphical interface, classification of pathology, and knowledge extraction. The graphical interface module allows a friendly man-machine interaction with the physician. The pathology classification module is implemented through difierent algorithms, such as linear and quadratic discriminants, Naive Bayes classifier, K Nearest Neighbors (KNN) classifier, Multilayer Perceptron (MLP) network, Self-Organizing Map (SOM) network, ang Generalized Regression network (GRNN). The knowledge extraction module is responsible for rule extraction from trained neural network based classifiers, in order to elucidate the neural-based diagnostic to the orthopedist. In particular, the pathology classification module of the SINPATCO platform uses recently proposed biomechanical attributes to categorize a patient into one out of three classes: normal subjects, subjects with spondilolistesis, and subjects with disk hernia. All the aforementioned classifiers are evaluated with respect their pathology recognition rate, number of false positive cases, number of false negative cases and sensitivity to outliers. The contribution of this work is manifold. Starting from the fact that it is probably the first to use (within the orthopaedic medicine) a recently proposed set of biomechanical measurements for the design of classifiers, this work also evaluates several pattern classifiers in the diagnosis of patologies of the vertebral column, and allows knowledge extraction from the trained classifiers in order to elucidate the obtained diagnostic to the physician. To the best of our knowledge, the combination of these three contributions makes the SINPATCO platform an innovative computer-aid tool for the orthopedist, facilitating the work of these professionals. Despite the fact that the SINPATCO platform can serve as a computer-aided diagnostic tool in the orthopedic medicine, it can also be used by non-expert clinicians, in order to minimize the lack of orthopedists in remote regions, speeding up the treatment and the transferring of patients to more developed centers.
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Franco, Karina Pereira Motta. "Desenvolvimento de um sistema inteligente para auxiliar a escolha de sistema para produção no mar." [s.n.], 2003. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263621.
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Orientador: Celso Kazuyuki MorookaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica, Instituto de Geociencias
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Resumo: Os investimentos iniciais para o desenvolvimento de campos petrolíferos no mar estão cada vez maiores e as alterações nas tomadas de decisões referentes a um novo projeto estão com menor flexibilidade devido às descobertas de campos localizados em lâminas d¿água cada vez mais profundas. O risco relacionado com o desenvolvimento desses campos é causado pela necessidade de se tomar decisões num ambiente de incertezas, já que as informações relacionadas ao novo projeto mínimas. Com a obtenção das informações relacionadas a um novo campo, o seu desenvolvimento é realizado em diferentes etapas, são elas: planejamento, seleção, execução, operação e abandono. O planejamento se inicia logo após a descoberta de petróleo em uma determinada região (considerando que haja um bom volume de óleo existente) onde vários cenários são projetados para que na próxima etapa possa selecionar uma dessas opções, mas estas seleções podem ser alteradas até que finalmente haja uma definição absoluta de qual cenário deverá entrar em execução. Por último o campo deve ser abandonado após seus anos de vida útil em operação. A presente pesquisa engloba a primeira etapa do desenvolvimento de um campo, ou seja, o planejamento. A dificuldade em escolher um bom sistema marítimo de produção de óleo está ligada a aspectos técnicos, econômicos, ambientais e políticos. O sucesso de um projeto de sistema marítimo de produção depende muito da experiência acumulada pelos engenheiros durante o exercício de suas atividades. Este trabalho propõe um ambiente inteligente para otimizar a escolha dentre alternativas em projeto de sistemas marítimos de produção através do uso do conhecimento especialista sobre processos e procedimentos técnicos e ambientais que envolvem a produção de óleo e gás. Para a modelagem do conhecimento especialista e para o desenvolvimento do sistema inteligente utilizou-se a teoria de conjuntos nebulosos e raciocínio aproximado
Abstract: The initial investments for the development of offshore oilfields are always increasing and the alterations in the taking decision making stage for a new Project are less flexible due to the Discovery of fields located in ultra deep waters. The risk related with the development of these fields is caused by the necessity of making decisions in an environment of uncertainties, since the information related to the new projects is minimum. With the attainment of the information related to a new field, its development is carried out through different stages, namely: planning, selection, execution, operation and abandonment. The planning is initiated soon after the discovery of oil in a determined region (considering that it has a good volume of existing oil) where some scenarios are projected so that in the next stage one of these options can be selected, but these selections can be modified until finally there is an absolute definition of which scenarios will have to enter in execution. Finally the field must be abandoned after years on operation. This work englobes the first stage of the development of a field, that is, the planning. The difficulty in choosing a good offshore oil production system is on the aspects technology, conomic, environment and politics. The success of a design of offshore petroleum production system is highly dependent on the accumulated expertise of engineers during their professional activities. The present work proposes an intelligent system to optimize the selection task among alternatives in designing of offshore production systems through the use of the expert knowledge related to technical and environmental process, and operational procedures involving oil and gas production. Fuzzy sets theory and approximated reasoning are used to model the expert knowledge and to develop the intelligent system here presented
Mestrado
Reservatórios e Gestão
Mestre em Ciências e Engenharia de Petróleo
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Souza, Ademar Rosa de. "Estudo comparativo avaliando três modalidades de diagnóstico médico parecer médico, buscas no Google e sistema especialista de apoio à decisão médica /." Botucatu, 2020. http://hdl.handle.net/11449/192224.
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Orientador: Luís Cuadrado MartinResumo: O conhecimento sobre qualquer patologia pode ser facilmente encontrado na internet, mas dificilmente encontra-se alguma ferramenta que faça a análise e o raciocínio entre os dados de um paciente e se obtenha o diagnóstico mais provável. Em nosso cotidiano, em virtude de uma maior demanda na área da saúde, existe uma necessidade crescente de diagnósticos médicos rápidos e precisos. Em virtude disso, foi elaborado um Sistema de Apoio à Decisão Médica com o intuito de otimizar e agilizar de forma confiável os diagnósticos médicos. A ideia é dar qualidade e agilidade à prática médica, adotando a tecnologia como ferramenta básica: “Quem tem mais informação, tem melhores condições para escolher e tomar decisões”. Na construção deste sistema, foram utilizados um banco de dados relacional (MySQL) e aplicadas técnicas de inteligência artificial, tais como: a construção de Árvores de Decisão, Aprendizado não supervisionado e a utilização das Redes de Bayes (onde estão envolvidos domínios de conhecimento com significativo grau de incerteza, como é o caso da área médica). Através da união destas técnicas, são feitas a seleção e classificação das doenças mais prováveis, onde as mesmas podem ser examinadas com mais detalhes pelo médico, garantindo assim uma maior segurança na escolha dos possíveis diagnósticos. Visando uma maior abrangência e rapidez na disseminação do conhecimento humano, o sistema foi disponibilizado via internet (www.danton.med.br). Para a concepção do projeto foi reali... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: The knowledge about any pathology can be easily found on the internet, but it is difficult to find any tool that makes the analysis and reasoning between the data of a patient and obtain the most probable diagnosis. In our daily lives, due to a greater demand in the health area, there is a growing need for fast and accurate medical diagnoses. As a result, a Medical Decision Support System was developed in order to reliably optimize and streamline medical diagnostics. The idea is to give quality and agility to medical practice, adopting technology as a basic tool: “Who has more information, has better conditions to choose and make decisions”. In the construction of this system, a relational database (MySQL) was used and artificial intelligence techniques were applied, such as: the construction of Decision Trees, Unsupervised Learning and the use of Bayes Networks (where knowledge domains are involved with significant degree of uncertainty, as is the case in the medical field). Through the union of these techniques, the selection and classification of the most probable diseases are made, where they can be examined in more detail by the doctor, thus ensuring greater security in the choice of possible diagnoses. Aiming at a greater scope and speed in the dissemination of human knowledge, the system was made available via internet (www.danton.med.br). To design the project, a prospective, randomized, crossover and open study was carried out; in which 3 groups of doctors (called gr... (Complete abstract click electronic access below)
Doutor
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Silva, Naira Vincenzi da. "Estudos para uma métrica da aprendizagem do curso Domus Procel Edifica: integrando mapas conceituais e taxonomia revisada para um sistema inteligente de avaliação na web." Universidade Federal de Uberlândia, 2013. https://repositorio.ufu.br/handle/123456789/13920.
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This study is a qualitative research project classified as practical and participatory action
research designs, which has as its aim the creation of an instructional design, used as a
learning metric for Domus Software - Procel Edification, which integrates concept maps and
the revised Bloom taxonomy into an intelligent web assessment system. This metric aligns
curriculum concept maps along with conceptual and procedural knowledge of the Domus
software - Procel edifies the retaining cognitive processes, provides understanding and
application, through offering a model of instructional design, which assigns weights to those
cognitive processes attained by students and identifies principles to be used in its
applicability for the evaluation of distance learning. The authors also present the results for
alignment, inferring weights as well as an outline of the logical sequence along with steps for
the implementation of the intelligent system through the association of some exemplification
slides.O presente trabalho é uma pesquisa qualitativa e classificada como practical and participatory action research designs (desenho de pesquisa de prática e ação participativa), que tem como intuito criar um desenho instrucional para uma métrica da aprendizagem do Software Domus Procel Edifica, integrando mapas conceituais à taxonomia revisada de Bloom em um sistema inteligente de avaliação na Web. Essa métrica alinha mapas conceituais curriculares, conhecimentos procedimentais e conceituais do software Domus − Procel Edifica aos processos cognitivos de retenção, entendimento e aplicação, oferecendo um modelo de desenho instrucional, que atribui pesos aos processos cognitivos alcançados pelos estudantes e identifica alguns princípios para sua aplicabilidade na avaliação da aprendizagem a distância. Apresenta-se ainda, resultados de alinhamento, inferência de pesos e um esboço da sequência lógica e etapas de execução do sistema inteligente, associando-se algumas telas de exemplificação.
Mestre em Educação
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Barriga, Maria Eugénia Gorjão Bertrand de Sousa. "Artificial intelligence applied to marketing management: Trends and projections according to specialists." Master's thesis, 2019. http://hdl.handle.net/10071/19373.
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Marketing Management is one of the areas that has been progressively integrating artificial intelligence systems, and the pace of the development of intelligent software that is very useful for marketing seems not to slow down. In fact, the growth and sophistication of technological systems promise to increase even more, which will inevitably affect operations as well as management and planning.
In an attempt to assess and measure the expected impacts of AI on marketing departments in the short / medium term, a Delphi was carried out. Thereby, a panel of 21 marketing specialists (13 Portuguese and 8 international) was gathered, which was asked to evaluate on a Likert scale a series of statements, and to comment and debate among them. In this case it was a Real Time Delphi since the study was conducted using an online platform, which allowed all comments to be immediately available and visible to all participants.
With this exploratory study, it was possible to conclude that the areas that are expected to be helped by intelligent systems to a greater extent – this is, the areas that will assist the automation of more operations - are customer recognition , market segmentation, sales forecasting and programmatic communication. On the other hand, the two most controversial statements among experts - thus risky to draw lessons - were statements regarding the autonomous operation of website adjustments and developments, as well as the adoption of intelligent systems to support strategic and strategic decision-making.A Gestão de Marketing é uma das áreas que tem vindo progressivamente a integrar sistemas de inteligência artificial, e a cadência do desenvolvimento de softwares inteligentes com grande utilidade para parece não abrandam. Na verdade, o crescimento e o grau de sofisticação dos sistemas tecnológicos prometem aumentar cada vez mais, o que promete afetar a vários níveis as operações e até a definição de estratégias de marketing e de gestão. Na tentativa de avaliar e medir os impactos da inteligência artificial nos departamentos de marketing no curto/médio prazo, procedeu-se à realização de um Delphi. Para isso reuniu-se um painel de 21 especialistas na área do marketing e da inteligência artificial (13 portugueses e 8 internacionais), ao qual foi colocada uma série de afirmações para que fossem avaliadas numa escala de Likert, comentadas e debatidas. Neste caso tratou-se de um Real Time Delphi uma vez que o estudo foi realizado recorrendo a uma plataforma online, o que permitiu que todos comentários ficassem imediatamente disponíveis e visíveis a todos os participantes. Com este estudo, de cariz marcadamente exploratório, concluiu-se que as áreas que se esperam vir a ser auxiliadas por sistemas inteligentes em maior medida – ou seja, as áreas que assistirão à automatização de um maior número de operações – são o reconhecimento do cliente, segmentação de mercado, previsão de vendas e comunicação programática. Por outro lado, os temas que mais controvérsia geraram entre os especialistas – sendo pouco seguro retirar ilações – referem-se à operação autónoma de ajustes e desenvolvimentos de websites, bem como à adoção de sistemas inteligentes para servirem de apoio à tomada de decisões estratégicas e de planeamento.
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Ben, Sghaier Oussama. "Towards using intelligent techniques to assist software specialists in their tasks." Thesis, 2020. http://hdl.handle.net/1866/25094.
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L’automatisation et l’intelligence constituent des préoccupations majeures dans le domaine de l’Informatique. Avec l’évolution accrue de l’Intelligence Artificielle, les chercheurs et l’industrie se sont orientés vers l’utilisation des modèles d’apprentissage automatique et d’apprentissage profond pour optimiser les tâches, automatiser les pipelines et construire des systèmes intelligents. Les grandes capacités de l’Intelligence Artificielle ont rendu possible d’imiter et même surpasser l’intelligence humaine dans certains cas aussi bien que d’automatiser les tâches manuelles tout en augmentant la précision, la qualité et l’efficacité. En fait, l’accomplissement de tâches informatiques nécessite des connaissances, une expertise et des compétences bien spécifiques au domaine. Grâce aux puissantes capacités de l’intelligence artificielle, nous pouvons déduire ces connaissances en utilisant des techniques d’apprentissage automatique et profond appliquées à des données historiques représentant des expériences antérieures. Ceci permettra, éventuellement, d’alléger le fardeau des spécialistes logiciel et de débrider toute la puissance de l’intelligence humaine. Par conséquent, libérer les spécialistes de la corvée et des tâches ordinaires leurs permettra, certainement, de consacrer plus du temps à des activités plus précieuses.
En particulier, l’Ingénierie dirigée par les modèles est un sous-domaine de l’informatique qui vise à élever le niveau d’abstraction des langages, d’automatiser la production des applications et de se concentrer davantage sur les spécificités du domaine. Ceci permet de déplacer l’effort mis sur l’implémentation vers un niveau plus élevé axé sur la conception, la prise de décision. Ainsi, ceci permet d’augmenter la qualité, l’efficacité et productivité de la création des applications.
La conception des métamodèles est une tâche primordiale dans l’ingénierie dirigée par les modèles. Par conséquent, il est important de maintenir une bonne qualité des métamodèles étant donné qu’ils constituent un artéfact primaire et fondamental. Les mauvais choix de conception, ainsi que les changements conceptuels répétitifs dus à l’évolution permanente des exigences, pourraient dégrader la qualité du métamodèle. En effet, l’accumulation de mauvais choix de conception et la dégradation de la qualité pourraient entraîner des résultats négatifs sur le long terme. Ainsi, la restructuration des métamodèles est une tâche importante qui vise à améliorer et à maintenir une bonne qualité des métamodèles en termes de maintenabilité, réutilisabilité et extensibilité, etc.
De plus, la tâche de restructuration des métamodèles est délicate et compliquée, notamment, lorsqu’il s’agit de grands modèles. De là, automatiser ou encore assister les architectes dans cette tâche est très bénéfique et avantageux. Par conséquent, les architectes de métamodèles pourraient se concentrer sur des tâches plus précieuses qui nécessitent de la créativité, de l’intuition et de l’intelligence humaine.
Dans ce mémoire, nous proposons une cartographie des tâches qui pourraient être automatisées ou bien améliorées moyennant des techniques d’intelligence artificielle. Ensuite, nous sélectionnons la tâche de métamodélisation et nous essayons d’automatiser le processus de refactoring des métamodèles. A cet égard, nous proposons deux approches différentes: une première approche qui consiste à utiliser un algorithme génétique pour optimiser des critères de qualité et recommander des solutions de refactoring, et une seconde approche qui consiste à définir une spécification d’un métamodèle en entrée, encoder les attributs de qualité et l’absence des design smells comme un ensemble de contraintes et les satisfaire en utilisant Alloy.Automation and intelligence constitute a major preoccupation in the field of software engineering. With the great evolution of Artificial Intelligence, researchers and industry were steered to the use of Machine Learning and Deep Learning models to optimize tasks, automate pipelines, and build intelligent systems. The big capabilities of Artificial Intelligence make it possible to imitate and even outperform human intelligence in some cases as well as to automate manual tasks while rising accuracy, quality, and efficiency. In fact, accomplishing software-related tasks requires specific knowledge and skills. Thanks to the powerful capabilities of Artificial Intelligence, we could infer that expertise from historical experience using machine learning techniques. This would alleviate the burden on software specialists and allow them to focus on valuable tasks. In particular, Model-Driven Engineering is an evolving field that aims to raise the abstraction level of languages and to focus more on domain specificities. This allows shifting the effort put on the implementation and low-level programming to a higher point of view focused on design, architecture, and decision making. Thereby, this will increase the efficiency and productivity of creating applications. For its part, the design of metamodels is a substantial task in Model-Driven Engineering. Accordingly, it is important to maintain a high-level quality of metamodels because they constitute a primary and fundamental artifact. However, the bad design choices as well as the repetitive design modifications, due to the evolution of requirements, could deteriorate the quality of the metamodel. The accumulation of bad design choices and quality degradation could imply negative outcomes in the long term. Thus, refactoring metamodels is a very important task. It aims to improve and maintain good quality characteristics of metamodels such as maintainability, reusability, extendibility, etc. Moreover, the refactoring task of metamodels is complex, especially, when dealing with large designs. Therefore, automating and assisting architects in this task is advantageous since they could focus on more valuable tasks that require human intuition. In this thesis, we propose a cartography of the potential tasks that we could either automate or improve using Artificial Intelligence techniques. Then, we select the metamodeling task and we tackle the problem of metamodel refactoring. We suggest two different approaches: A first approach that consists of using a genetic algorithm to optimize set quality attributes and recommend candidate metamodel refactoring solutions. A second approach based on mathematical logic that consists of defining the specification of an input metamodel, encoding the quality attributes and the absence of smells as a set of constraints and finally satisfying these constraints using Alloy.
Books on the topic "Intelligence specialists"
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United States. Joint Chiefs of Staff. Joint doctrine for intelligence support to operations. [Washington, D.C.]: Joint Chiefs of Staff, 1993.
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1968-, Lingel Sherrill Lee, and Rand Corporation, eds. Methodology for improving the planning, execution, and assessment of intelligence, surveillance, and reconnaissance operations. Santa Monica, CA: RAND Corporation, 2007.
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1968-, Lingel Sherrill Lee, and Rand Corporation, eds. Methodology for improving the planning, execution, and assessment of intelligence, surveillance, and reconnaissance operations. Santa Monica, CA: RAND Corporation, 2007.
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Harris, Gail. A woman's war: The professional and personal journey of the Navy's first African American female intelligence officer. Lanham: Scarecrow Press, 2010.
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Harris, Gail. A woman's war: The professional and personal journey of the Navy's first African American female intelligence officer. Lanham: Scarecrow Press, 2010.
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Pepłoński, Andrzej. Służby wywiadowcze Polskich Sił Zbrojnych na Zachodzie, 1939-1945. Warszawa: Akademia Spraw Wewnętrznych, 1988.
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1962-, Martínez Zamora Luis, and Gómez Seruto, Claudio J. 1963-, eds. 1959, victoria del DIER sobre la CIA. Pinar del Río, Cuba: Ediciones Loynaz, 2007.
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Isakov, Vladimir, and Radomir Mamcev. Legal Analytics: Students and artificial intelligence on the exam. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2089301.
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In Russian education, there is an active search for forms of using artificial intelligence, which requires additional efforts from both teachers and students. The authors of the book conducted an original educational experiment: artificial intelligence (GhatGPT)
was offered to answer a list of exam questions on the discipline "Legal Analytics" and compared its texts with written answers of students. As a result, a double test turned out: the knowledge of students and the capabilities of artificial intelligence in the field of legal analytics, they can be compared.
For analytical specialists, teachers, postgraduates and students of law and humanities universities and faculties.
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Army War College (U.S.). Strategic Studies Institute, ed. Human intelligence: All humans, all minds, all the time. Carlisle, PA: Strategic Studies Institute, U.S. Army War College, 2010.
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Abdullaeva, Afsana, Elena Averchenko, Tat'yana Aleksandrova, Igor' Amiryan, Anna Artamonova, Timur Beterbiev, Denis Boyko, et al. The possibilities of natural and artificial intelligence combining in educational systems. ru: Publishing Center RIOR, 2023. http://dx.doi.org/10.29039/02124-8.
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The monograph was written by a team of authors based on the results of the interregional conference "The possibilities of combining natural and artificial intelligence in educational systems", as well as on the basis of regular meetings within the framework of the virtual laboratory for the study of artificial intelligence and robotics. The discussion was held in a format combined with a meeting of the Southern Branch of the Interregional Public Organization "Academy of Informatization of Education" (UO AIO), which has already turned 20 years old. The main objective of the conference was to analyze the possibilities of interaction between natural and artificial intelligence in educational systems of various levels, the issues of the use of modern information technologies, software, artificial intelligence, digitalization in educational organizations in the implementation of educational activities and the educational process, robotic technologies in education, etc. were considered.
The proposed materials may be useful to specialists of the Department of the education system of Russia and its regions, employees of federal and regional authorities and management, as well as regional associations of academic mobility.
Book chapters on the topic "Intelligence specialists"
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Armando, Alessandro, and Silvio Ranise. "From integrated reasoning specialists to “plug-and-play≓ reasoning components." In Artificial Intelligence and Symbolic Computation, 42–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0055901.
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Matys-Popielska, Katarzyna, Krzysztof Popielski, and Anna Sibilska-Mroziewicz. "Prototype of Virtual Reality Game to Support Post-stroke Recovery in Patients with Spatial Neglect Syndrome." In Digital Interaction and Machine Intelligence, 314–19. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_32.
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AbstractStroke is the second cause of mortality and one of the leading causes of disability in adults. Post-stroke complications involve many different systems through which they involve difficulties in daily life. A very common complication that involves about 25–30% of post-stroke patients is spatial neglect syndrome, which involves the impaired perception of one’s body and space. An important aspect of treatment for stroke patients is rehabilitation, both while still in the hospital and later in rehabilitation facilities as well as at home. Many studies have shown effective virtual reality (VR)-based general therapy systems after stroke. In particular, systems for motor function rehabilitation. In the following paper, a game proposal for the rehabilitation of patients with unilateral spatial neglect syndrome is shown. This game takes into account the specific perception and special motor skills of patients with spatial neglect syndrome. The described game was presented to a team of rehabilitation specialists working at the Department of Neurology and Stroke Unit of the University Clinical Hospital in Białystok and was evaluated by these specialists.
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Balonin, Nikolay A., Sergey V. Petoukhov, and Mikhail B. Sergeev. "Matrices in Improvement of Systems of Artificial Intelligence and Education of Specialists." In Advances in Intelligent Systems and Computing, 39–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67349-3_4.
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Sobiech, Mariusz, Wojciech Wolański, and Ilona Karpiel. "Brief Overview Upper Limb Rehabilitation Robots/Devices." In Digital Interaction and Machine Intelligence, 286–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_29.
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AbstractThe rehabilitation approach has changed with the appearance of robots. As a results the rehabilitation costs significantly decrease but also time for both the patient [1], who does not have to commute for long time to the office and medical professionals. Nowadays medicine, computer science, electronics, and engineering, in general, are strongly connected. A group of specialists is working on newer and newer solutions to improve both diagnosis and therapy. This article provides an overview of basic rehabilitation robotic solutions used in the rehabilitation of upper limb functions.The literature used is based on PubMed and Scopus databases included articles published between 1999 and 2021. Eligibility criteria included upper limb exoskeletons for rehabilitation of both the wrist, elbow, and shoulder joints.This paper provides an overview of an important research subject and highlights the current knowledge in the field. Despite extensive attempts to develop rehabilitation systems, exoskeletons are primarily uncommercialised despite a large number of prototypes.
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Sobecki, Piotr, Rafał Jóźwiak, and Ihor Mykhalevych. "Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study." In Digital Interaction and Machine Intelligence, 85–92. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_9.
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AbstractIn recent years multiple deep-learning solutions have emerged that aim to assist radiologists in prostate cancer (PCa) diagnosis. Most of the studies however do not compare the diagnostic accuracy of the developed models to that of radiology specialists but simply report the model performance on the reference datasets. This makes it hard to infer the potential benefits and applicability of proposed methods in diagnostic workflows. In this paper, we investigate the effects of using pre-trained models in the differentiation of clinically significant PCa (csPCa) on mpMRI and report the results of conducted multi-reader multi-case pilot study involving human experts. The study aims to compare the performance of deep learning models with six radiologists varying in diagnostic experience. A subset of the ProstateX Challenge dataset counting 32 prostate lesions was used to evaluate the diagnostic accuracy of models and human raters using ROC analysis. Deep neural networks were found to achieve comparable performance to experienced readers in the diagnosis of csPCa. Results confirm the potential of deep neural networks in enhancing the cognitive abilities of radiologists in PCa assessment.
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Pochwatko, Grzegorz, Daniel Cnotkowski, Paweł Kobyliński, Paulina Borkiewicz, Michał Pabiś-Orzeszyna, Mariusz Wierzbowski, and Laura Osęka. "Transdisciplinary Approach to Virtual Narratives - Towards Reliable Measurement Methods." In Digital Interaction and Machine Intelligence, 202–12. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_20.
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AbstractWe have recently observed intense growth in the film industry’s interest in VR creations. Cinematic VR artists encounter challenges that result from discrepancies between established techniques of storytelling, stylistic conventions, and organizational culture indicative of traditional modes of film practice and the requirements of the new medium and new audience. We propose a transdisciplinary approach to cinematic VR research. Thanks to the cooperation of art & science - a collaboration between psychologists, information technology specialists, film scholars, and filmmakers will contribute to the emergence of a new VR narrative paradigm. We use a number of quantitative and qualitative methods to study the perception of cinematic VR works, an illusion of spatial presence and copresence, attention, emotions, and arousal of its users, narrative understanding, and character engagement. We measure participants’ reactions in many independent ways: in addition to subjective assessments and declarative methods, we use more objective data: eye tracking, multi-point position skeleton tracking, and psychophysiological responses. We show the effectiveness of the adopted approach by studying three artistic cinematic VR works: narrative and non-narrative, live-action, and animated. We compare the user experience and present the possibilities of interpretation and feedback benefits for art.
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Xiao, Chaojun, Zhiyuan Liu, Yankai Lin, and Maosong Sun. "Legal Knowledge Representation Learning." In Representation Learning for Natural Language Processing, 401–32. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1600-9_11.
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AbstractThe law guarantees the regular functioning of the nation and society. In recent years, legal artificial intelligence (legal AI), which aims to apply artificial intelligence techniques to perform legal tasks, has received significant attention. Legal AI can provide a handy reference and convenient legal services for legal professionals and non-specialists, thus benefiting real-world legal practice. Different from general open-domain tasks, legal tasks have a high demand for understanding and applying expert knowledge. Therefore, enhancing models with various legal knowledge is a key issue of legal AI. In this chapter, we summarize the existing knowledge-intensive legal AI approaches regarding knowledge representation, acquisition, and application. Besides, future directions and ethical considerations are also discussed to promote the development of legal AI.
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Raineri, Paolo, and Francesco Molinari. "Innovation in Data Visualisation for Public Policy Making." In The Data Shake, 47–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63693-7_4.
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AbstractIn this contribution, we propose a reflection on the potential of data visualisation technologies for (informed) public policy making in a growingly complex and fast changing landscape—epitomized by the situation created after the outbreak of the Covid-19 pandemic. Based on the results of an online survey of more than 50 data scientists from all over the world, we highlight five application areas seeing the biggest needs for innovation according to the domain specialists. Our main argument is that we are facing a transformation of the business cases supporting the adoption and implementation of data visualisation methods and tools in government, which the conventional view of the value of Business Intelligence does not capture in full. Such evolution can drive a new wave of innovations that preserve (or restore) the human brain’s centrality in a decision making environment that is increasingly dominated—for good and bad—by artificial intelligence. Citizen science, design thinking, and accountability are mentioned as triggers of civic engagement and participation that can bring a community of “knowledge intermediaries” into the daily discussion on data supported policy making.
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Arora, Shiraj, Abhishek Jain, Yenda Ramesh, and M. V. Panduranga Rao. "Specialist Cops Catching Robbers on Complex Networks." In Studies in Computational Intelligence, 731–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05411-3_58.
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Mirontseva, Svetlana, Alla Mikhaylova, and Artyom Grischuk. "Tolerance and Emotional Intelligence Indicators as Transportation Specialist Requirements." In Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2022), 496–504. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36960-5_56.
Full textConference papers on the topic "Intelligence specialists"
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Jia, Pengtao, Huacan He, and Wei Lin. "Multiple Classifiers Combination Based on Specialists' FIelds." In 2006 Fifth Mexican International Conference on Artificial Intelligence. IEEE, 2006. http://dx.doi.org/10.1109/micai.2006.33.
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Eremeev, A. P., N. A. Paniavin, and M. A. Marenkov. "MOOC Development For Artificial Intelligence and Decision-Making Specialists Education." In 2024 7th International Conference on Information Technologies in Engineering Education (Inforino). IEEE, 2024. http://dx.doi.org/10.1109/inforino60363.2024.10552011.
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Chistyakova, T. B., and I. V. Novozhilova. "Intelligence computer simulators for elearning of specialists of innovative industrial enterprises." In 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM). IEEE, 2016. http://dx.doi.org/10.1109/scm.2016.7519772.
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Dervenis, Nikolaos, Georgios Alexandridis, and Andreas Stafylopatis. "Neural Network Specialists for Inverse Spiral Inductor Design." In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2018. http://dx.doi.org/10.1109/ictai.2018.00020.
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Kopochynskaya, Yuliia, and Nikol Dmitriieva. "FORMATION OF EMOTIONAL INTELLIGENCE OF FUTURE SPECIALISTS IN PHYSICAL THERAPY AND ERGOTHERAPY." In Scientific Development of New Eastern Europe. Publishing House “Baltija Publishing”, 2019. http://dx.doi.org/10.30525/978-9934-571-89-3_16.
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Chava, H. F. "Formation of emotional intelligence in learning english by future specialists: importance, relevance." In PHILOLOGICAL SCIENCES, INTERCULTURAL COMMUNICATION AND TRANSLATION STUDIES: AN EXPERIENCE AND CHALLENGES. Baltija Publishing, 2021. http://dx.doi.org/10.30525/978-9934-26-073-5-2-77.
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Haupt, Sue Ellen, Tyler C. McCandless, Jared C. Lee, Branko Kosovic, Stefano Alessandrini, Susan Dettling, Tahani Hussain, and Majed Al-Rasheedi. "Combining Physical Modeling with Artificial Intelligence for Solar Power Forecasting." In 2020 IEEE 47th Photovoltaic Specialists Conference (PVSC). IEEE, 2020. http://dx.doi.org/10.1109/pvsc45281.2020.9300434.
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Liu, Sirui, and Yu Sun. "An Intelligent News-based Stock Pricing Prediction using AI and Natural Language Processing." In 8th International Conference on Artificial Intelligence (ARIN 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121011.
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How do you know which stock is the right stock to invest in and have no risk of losing their money [1]? Even though there are analysis specialists out there to collect data to calculate which stock is good to be invested in, ultimately people could not afford the cost of specialists and specialists are not able to be there every minute that you want to find them. Therefore, the app Stock Recommendation is created to solve this problem where stock investment suggestions are available in touch anywhere and anytime [2]. This application helps us with what we want to invest in and gather information from recent news to show us about the public opinions towards the stock that we are looking for. Investors will no longer struggle with the problem that is the stock that they want to invest in, a good stock or a bad stock, so no money will be lost from the investor's pocket and rather, they will gain my money [4].
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Kometiani, E. A. "FORMATION OF COMMUNICATIVE COMPETENCIES AMONG FUTURE SPECIALISTS OF THE TRANSPORT INDUSTRY WHEN WORKING WITH SPECIALIZED FOREIGN LANGUAGE PUBLICATIONS IN THE FIELD OF INTELLIGENT TRANSPORT SYSTEMS." In Intelligent transport systems. Russian University of Transport, 2024. http://dx.doi.org/10.30932/9785002446094-2024-869-873.
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The article is devoted to the development of the communicative competencies of future specialists of the railway industry when working with the professional terminology of industry publications, the corpus of vocabulary in the field of artificial intelligence, the peculiarities of translation and training of future specialists of the railway industry in the context of digital transformation.
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Liu, Sirui, and Yu Sun. "An Intelligent News-based Stock Pricing Prediction using AI and Natural Language Processing." In 3rd International Conference on Artificial Intelligence and Machine Learning (CAIML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121203.
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How do you know which stock is the right stock to invest in and have no risk of losing their money [1]? Even though there are analysis specialists out there to collect data to calculate which stock is good to be invested in, ultimately people could not afford the cost of specialists and specialists are not able to be there every minute that you want to find them. Therefore, the app Stock Recommendation is created to solve this problem where stock investment suggestions are available in touch anywhere and anytime [2]. This application helps us with what we want to invest in and gather information from recent news to show us about the public opinions towards the stock that we are looking for. Investors will no longer struggle with the problem that is the stock that they want to invest in, a good stock or a bad stock, so no money will be lost from the investor's pocket and rather, they will gain my money [4].
Reports on the topic "Intelligence specialists"
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Ivanova, E. S. emotional Development intelligence within the training program specialists profilers. LJournal, 2017. http://dx.doi.org/10.18411/a-2017-008.
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Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev, and Mariya P. Shyshkina. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, July 2020. http://dx.doi.org/10.31812/123456789/4633.
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In modern conditions, innovative augmented reality technologies are actively developing, which are widespread in many areas of human activity. Introduction of advanced developments in the process of professional training of future specialists of socionomic professions in the conditions of adaptive training, contributes to the implementation of the principles of a personalized approach and increase the overall level of competitiveness. The relevant scientific article is devoted to the theoretical and empirical analysis result of conducting a psychodiagnostic study on an innovative computer complex HC-psychotest. of the features of the implementation of augmented reality technologies in the construct of traditional psychological and pedagogical support aimed at the development of emotional intelligence of the future specialist. The interdisciplinary approach was used while carrying out the research work at the expense of the general fund of the state budget: “Adaptive system for individualization and personalization of professional training of future specialists in the conditions of blended learning”. A comprehensive study of the implementation of traditional psychological-pedagogical and innovative augmented reality technologies was conducted in the framework of scientific cooperation of STEAM-Laboratory, Laboratory of Psychophysiological Research and Laboratory of Psychology of Health in Bogdan Khmelnitsky Melitopol State Pedagogical University. The theoretical analysis considers the structural model of emotional intelligence of the future specialist of socionomic professions, which is represented by two structural components: intrapersonal construct of emotional intelligence and interpersonal construct of emotional intelligence. Each component mediates the inherent emotional intelligence of interpretive, regulatory, adaptive, stress-protective and activating functions. The algorithm of the empirical block of research is presented by two stages: ascertaining and forming research. According to the results of the statement, low indicators were found on most scales, reflecting the general level of emotional intelligence development of future specialists, actualizing the need to find and implement effective measures for the development of emotional intelligence components in modern higher education and taking into account information development and digitalization. As part of the formative stage of the research implementation, a comprehensive program “Development of emotional intelligence of future professionals” was tested, which integrated traditional psychological and pedagogical technologies and innovative augmented reality technologies. This program is designed for 24 hours, 6 thematic classes of 4 hours. According to the results of a comprehensive ascertaining and shaping research, the effectiveness of the influence of augmented reality technologies on the general index of emotional intelligence is proved. The step-by-step model of integration of augmented reality components influencing the ability to analyze, understand and regulate emotional states into a complex program of emotional intelligence development is demonstrated. According to the results of the formative study, there is a dominance of high indicators of the following components: intrapersonal (50%), interpersonal (53.3%). Thus, we can say that intrapersonal and interpersonal emotional intelligence together involve the actualization of various cognitive processes and skills, and are related to each other. Empirical data were obtained as a
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Fearns, Joshua, and Lydia Harriss. Data science skills in the UK workforce. Parliamentary Office of Science and Technology, June 2023. http://dx.doi.org/10.58248/pn697.
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This POSTnote looks at specialist data skills in the UK, including for artificial intelligence. It considers demand and supply, workforce demographics, challenges, and initiatives to increase supply. Key points: • Collecting and analysing data offers potential economic and social benefits. Analysis by the McKinsey Global Institute estimated that, by 2030, UK GDP could increase by up to 22% as a result of AI. • Potential societal benefits could range from climate change mitigation, to improving early detection and diagnosis of cancers by using AI to identify patterns from imaging (MRI) scans that are not readily detected by humans. • Evidence suggests that the availability of people with specialist data skills in the UK is not sufficient to meet demand. • A 2021 study estimated that the supply of data scientists from UK universities was unlikely to exceed 10,000 per year, yet there were potentially at least 178,000 data specialist roles vacant in the UK. • Research finds that certain groups (such as women, those from minority ethnic backgrounds and people with disabilities) are underrepresented in the data workforce. A lack of workforce diversity has the potential to amplify existing inequalities and prejudices. • Initiatives to increase the number of people with data skills include degree conversion courses, doctoral training centres for PhD students, online up-skilling platforms, apprenticeships, and visas to attract international talent. • Efforts to reduce the skills gap can be hindered by the inconsistent definition of data skills, organisational culture, the availability of specialist primary and secondary school teachers, and barriers to people moving between sectors. • A 2022 inquiry by the Lords Science and Technology Committee concluded that a mismatch exists between the scale of the UK’s STEM skills gap and the solutions proposed by the UK Government, “especially given the UK’s ambition to be a science and technology superpower”. It described the Government’s policies as “inadequate and piecemeal”.
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Canto, Patricia, ed. The role of vocational training knowledge intensive business services. (Main conclusions). Universidad de Deusto, 2020. http://dx.doi.org/10.18543/vyqr9353.
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In the global economic model, the service sector continues to gain ground on the manufacturing sector and trends such as the integration of new technologies into production processes are advancing inexorably. Advanced economies are pushed to specialise, supported by their regional innovation systems, and cities are emerging as key and strategic centres of activity. In this context, Knowledge Intensive Business Services (KIBS) are presented as critical due to their capacity to promote innovation within the regional productive fabric and smart specialisation strategies, the promotion of advanced manufacturing, the generation of quality employment and the stimulation of economic growth, especially in urban environments. This is why many cities, prioritizing KIBS to stimulate their economy, need to create and retain talent for this sort of industry. Likewise, vocational and education training (VET) systems, such as the Basque VET system, have so far developed their greatest strengths in the field of manufacturing knowledge. Due to this, VET seems to be obliged to adapt to this new scenario, in which KIBS and cities stand out, in order to continue to maintain their level of excellence. KIBS have been extensively examined, but until now no one had posed the following questions: What is the role of vocational training in KIBS? To what extent are VET profiles (and will VET profiles be) relevant in KIBS? This study will show an emerging trend in the labour market. This is the growing relevance of technology profiles with VET background in KIBS, especially in technology-based KIBS. VET technology profiles can be consolidated as one of the main implementing agents of the digital transformation (cybersecurity, blockchain, cloud computing, UX design, artificial intelligence, scientific computing...). To this end, hybridisation with other fields of knowledge but also with studies of other kinds such as university studies may be essential.
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Davies, Will. Improving the engagement of UK armed forces overseas. Royal Institute of International Affairs, January 2022. http://dx.doi.org/10.55317/9781784135010.
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The UK government’s Integrated Review of security, defence, development and foreign policy, published in March 2021 alongside a supporting defence command paper, set a new course for UK national security and highlighted opportunities for an innovative approach to international engagement activity. The Integrated Review focused principally on the state threats posed by China’s increasing power and by competitors – including Russia – armed with nuclear, conventional and hybrid capabilities. It also stressed the continuing risks to global security and resilience due to conflict and instability in weakened and failed states. These threats have the potential to increase poverty and inequality, violent extremism, climate degradation and the forced displacement of people, while presenting authoritarian competitors with opportunities to enhance their geopolitical influence. There are moral, security and economic motives to foster durable peace in conflict-prone and weakened regions through a peacebuilding approach that promotes good governance, addresses the root causes of conflict and prevents violence, while denying opportunities to state competitors. The recent withdrawal from Afghanistan serves to emphasize the complexities and potential pitfalls associated with intervention operations in complex, unstable regions. Success in the future will require the full, sustained and coordinated integration of national, allied and regional levers of power underpinned by a sophisticated understanding of the operating environment. The UK armed forces, with their considerable resources and global network, will contribute to this effort through ‘persistent engagement’. This is a new approach to overseas operations below the threshold of conflict, designed as a pre-emptive complement to warfighting. To achieve this, the UK Ministry of Defence (MOD) must develop a capability that can operate effectively in weak, unstable and complex regions prone to violent conflict and crises, not least in the regions on the eastern and southern flanks of the Euro-Atlantic area. The first step must be the development of a cohort of military personnel with enhanced, tailored levels of knowledge, skills and experience. Engagement roles must be filled by operators with specialist knowledge, skills and experience forged beyond the mainstream discipline of combat and warfighting. Only then will individuals develop a genuinely sophisticated understanding of complex, politically driven and sensitive operating environments and be able to infuse the design and delivery of international activities with practical wisdom and insight. Engagement personnel need to be equipped with: An inherent understanding of the human and political dimensions of conflict, the underlying drivers such as inequality and scarcity, and the exacerbating factors such as climate change and migration; - A grounding in social sciences and conflict modelling in order to understand complex human terrain; - Regional expertise enabled by language skills, cultural intelligence and human networks; - Familiarity with a diverse range of partners, allies and local actors and their approaches; - Expertise in building partner capacity and applying defence capabilities to deliver stability and peace; - A grasp of emerging artificial intelligence technology as a tool to understand human terrain; - Reach and insight developed through ‘knowledge networks’ of external experts in academia, think-tanks and NGOs. Successful change will be dependent on strong and overt advocacy by the MOD’s senior leadership and a revised set of personnel policies and procedures for this cohort’s selection, education, training, career management, incentivization, sustainability and support.