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Dissertations / Theses on the topic 'Ai-Driven'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Santiago, Dionny. "A Model-Based AI-Driven Test Generation System." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3878.

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Achieving high software quality today involves manual analysis, test planning, documentation of testing strategy and test cases, and development of automated test scripts to support regression testing. This thesis is motivated by the opportunity to bridge the gap between current test automation and true test automation by investigating learning-based solutions to software testing. We present an approach that combines a trainable web component classifier, a test case description language, and a trainable test generation and execution system that can learn to generate new test cases. Training da

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2

Mennborg, Alexander. "AI-Driven Image Manipulation : Image Outpainting Applied on Fashion Images." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85148.

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The e-commerce industry frequently has to deal with displaying product images in a website where the images are provided by the selling partners. The images in question can have drastically different aspect ratios and resolutions which makes it harder to present them while maintaining a coherent user experience. Manipulating images by cropping can sometimes result in parts of the foreground (i.e. product or person within the image) to be cut off. Image outpainting is a technique that allows images to be extended past its boundaries and can be used to alter the aspect ratio of images. Together

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3

Chassagnon, Guillaume. "AI-driven Detection, Characterization and Classification of Chronic Lung Diseases." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC101.

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L’évaluation de la gravité et la surveillance des maladies pulmonaires chroniques représentent deux challenges importants pour la prise en charge des patients et l’évaluation des traitements. La surveillance repose principalement sur les données fonctionnelles respiratoires mais l’évaluation morphologique reste un point essentiel pour le diagnostic et l’évaluation de sévérité. Dans la première partie de cette thèse, nous proposons différents modèles pour quantifier la sévérité de pathologies bronchiques chroniques au scanner. Une approche simple par seuillage adaptatif et une méthode plus soph

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Kacher, Yulia. "AI-Driven Discovery of Voltage-Gated Ion Channels’ Intermediate States." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0227.

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Les canaux ioniques dépendants du voltage (VGICs) jouent un rôle crucial dans de nombreux processus physiologiques, y compris la transmission des impulsions nerveuses et la contraction musculaire. Ils sont également des cibles majeures en développement pharmaceutique, représentant environ 20 % des cibles de petites molécules, particulièrement pour les maladies comme l'épilepsie, les arythmies et autres canalopathies. Malgré les progrès significatifs de la microscopie cryo-électronique fournissant des détails structuraux approfondis, la capture des états intermédiaires dynamiques pendant les tr

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5

SORO, FRANCESCA. "An AI and data-driven approach to unwanted network traffic inspection." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2950486.

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6

Cafaro, Alexandre. "AI-Driven Adaptive Radiation Treatment Delivery for Head & Neck Cancers." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL103.

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Le cancer de la tête et du cou (HNC) est l'un des cancers les plus difficiles à traiter en raison de la complexité de son anatomie et des changements significatifs spécifiques à chaque patient au cours du traitement. En tant que 6e cancer le plus fréquent dans le monde, le HNC présente souvent un mauvais pronostic en raison d'un diagnostic tardif et de l'absence de marqueurs prédictifs fiables. La radiothérapie, souvent associée à la chirurgie, est confrontée à des défis tels que la variabilité inter-observateur, la complexité de la planification et les changements anatomiques pendant le trait

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7

Ishida, Shoichi. "Development of an AI-Driven Organic Synthesis Planning Approach with Retrosynthesis Knowledge." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263605.

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8

Lévy, Loup-Noé. "Advanced Clustering and AI-Driven Decision Support Systems for Smart Energy Management." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG027.

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Cette thèse aborde le clustering de systèmes énergétiques complexes et hétérogènes au sein d'un système d'aide à la décision (SAD).Dans le chapitre 1, nous explorons d'abord la théorie des systèmes complexes et leur modélisation, reconnaissant les bâtiments comme des Systèmes Complexes Sociotechniques. Nous examinons l'état de l'art des acteurs impliqués dans la performance énergétique, identifiant notre cas d'étude comme le Tiers de Confiance pour la Mesure et la Performance Énergétique (TCMPE). Face à nos contraintes, nous nous focalisons sur le besoin d'un système d'aide à la décision pour

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9

Perera, Jayasuriya Kuranage Menuka. "AI-driven Zero-Touch solutions for resource management in cloud-native 5G networks." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0427.

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Le déploiement des réseaux 5G a introduit des architectures cloud-native et des systèmes de gestion automatisés, offrant aux fournisseurs de services de communication une infrastructure évolutive, flexible et agile. Ces avancées permettent une allocation dynamique des ressources, augmentant celles-ci en période de forte demande et les réduisant en période de faible utilisation, optimisant ainsi les CapEx et OpEx. Cependant, une observabilité limitée et une caractérisation insuffisante des charges de travail entravent la gestion des ressources. Une surprovisionnement pendant les périodes creuse

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10

Rahaman, Khan Md Atiqur. "Feasibility Analysis of AI based Wearable Data-driven Solution for Safety and Health in Sweden." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239442.

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This thesis investigates the prospects of AI and IoT based wearable solution in order to enhance the occupational safety and health. Thus this study contributes to find the probable use cases that can be suitable for such a technology. Later also investigation has been done to figure out how appropriate the Swedish market will be to target on. At the beginning of the thesis, it includes an overall scenario about the occupational safety/health globally as well as in Sweden. Later to improve the workplace injuries, how AI based wearable solution can be handy has been visualized. The theoretical

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11

SYED, MUHAMMAD FARRUKH SHAHID. "Data-Driven Approach based on Deep Learning and Probabilistic Models for PHY-Layer Security in AI-enabled Cognitive Radio IoT." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1048543.

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Cognitive Radio Internet of Things (CR-IoT) has revolutionized almost every field of life and reshaped the technological world. Several tiny devices are seamlessly connected in a CR-IoT network to perform various tasks in many applications. Nevertheless, CR-IoT surfers from malicious attacks that pulverize communication and perturb network performance. Therefore, recently it is envisaged to introduce higher-level Artificial Intelligence (AI) by incorporating Self-Awareness (SA) capabilities into CR-IoT objects to facilitate CR-IoT networks to establish secure transmission against vicious attac

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Jonsson, Hanna, and Luyolo Mazomba. "Revenue Generation in Data-driven Healthcare : An exploratory study of how big data solutions can be integrated into the Swedish healthcare system." Thesis, Umeå universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161384.

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Abstract The purpose of this study is to investigate how big data solutions in the Swedish healthcare system can generate a revenue. As technology continues to evolve, the use of big data is beginning to transform processes in many different industries, making them more efficient and effective. The opportunities presented by big data have been researched to a large extent in commercial fields, however, research in the use of big data in healthcare is scarce and this is particularly true in the case of Sweden. Furthermore, there is a lack in research that explores the interface between big data

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13

Stacey, Martin Kenneth. "A model-driven approach to scientific law discovery." Thesis, University of Aberdeen, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314674.

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This thesis presents a structural model of one aspect of science, the theory-driven discovery of empirical laws, in terms of the knowledge structures and reasoning processes that it involves; and describes a machine learning system designed to embody the major features of the model, called OZ, which is designed to investigate the transport properties of an unknown membrane separating two solutions. Inductive data-driven discovery is an important process in science, but takes place within very tightly constrained limits defined by theoretical reasoning. An explicit specification of the possible

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14

McCluskey, T. L. "Experience-driven heuristic acquisition in general problem solvers." Thesis, City University London, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234449.

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15

Egil, Martinsson. "Kvantitativ Modellering av förmögenhetsrättsliga dispositiva tvistemål." Thesis, Uppsala universitet, Statistiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-224516.

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I den här uppsatsen beskrivs en ansats till att med hjälp av statistiska metoder förutse utfallet i förmögenhetsrättsliga dispositiva tvistemål. Logistiska- och multilogistiska regressionsmodeller skattades på data för 13299 tvistemål från 5 tingsrätter och användes till att förutse utfallet för 1522 tvistemål från 3 andra tingsrätter. Modellerna presterade bättre än slumpen vilket ger stöd för slutsatsen att man kan använda statistiska metoder för att förutse utfallet i denna typ av tvistemål.<br>BACKROUND: The idea of legal automatization is a controversial topic that's been discussed fo

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16

Erhard, Annalena. "The Cost of Algorithmic decisions : A Systematic Literature Review." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85526.

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Decisions have been automated since the early days. Ever since the rise of AI, ML and DataAnalytics, algorithmic decision-making has experienced a boom time. Nowadays, using AI withina company is said to be critical to the success of a company. Considering the point that it can bequite costly to develop AI/ ML and integrating it into decision-making, it is striking how littleresearch was put into the identification and analysis of its cost drivers by now. This thesis is acontribution to raise and the awareness of possible cost drivers to algorithmic decisions. Thetopic was divided in two subgr

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Savola, Tommi, Tyko Tuohimaa, and Sebastian Berg. "AI-Enhanced Marketing Management – Factors Influencing Adoption in SMEs." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39908.

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Recent developments and hype around artificial intelligence (AI) have arisen as result of two main factors: increase in computational power and data. Although marketing is considered as one of the main business applications within AI today, there is a lack of literature combining the disciplines. Marketing management tools, which utilise AI in supporting decision making are referred to as knowledge-driven marketing management support systems (MMSS). These systems provide besides quantitative analysis, further qualitative facets into marketing management. Despite the willingness of many SMEs to

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Ljungren, Joakim. "Data-driven design for sustainable behavior : A case study in using data and conversational interfaces to influence corporate settlement." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-139199.

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Interaction with digital products and interfaces concern more and more of human decision-making and the problems regarding environmental, financial and social sustainability are consequences much due to our behavior. The issues and goals of sustainable development therefore implies how we have to think differently about digital design. In this paper, we examine the adequacy of influencing sustainable behavior with a data-driven design approach, applying a conversational user interface. A case study regarding the United Nation’s goals of technological development and economic distribution was c

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19

TOMA, ANDREA. "PHY-layer Security in Cognitive Radio Networks through Learning Deep Generative Models: an AI-based approach." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1003576.

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Recently, Cognitive Radio (CR) has been intended as an intelligent radio endowed with cognition which can be developed by implementing Artificial Intelligence (AI) techniques. Specifically, data-driven Self-Awareness (SA) functionalities, such as detection of spectrum abnormalities, can be effectively implemented as shown by the proposed research. One important application is PHY-layer security since it is essential to establish secure wireless communications against external jamming attacks. In this framework, signals are non-stationary and features from such kind of dynamic spectrum, with m

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20

Perez, Joan. "Spatial structures in India in the age of globalisation : a data-driven approach." Thesis, Avignon, 2015. http://www.theses.fr/2015AVIG1151/document.

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Les pays qui se sont insérés plus tardivement dans l'économie mondiale subissent généralement les effets de la mondialisation de manière accrue.De ce point de vue, les BRIC, comparés aux autres pays émergents, possèdent un certain poids dans l’économie mondiale et représentent doncun potentiel de marché important. Avec une croissance économique qui devrait dans un avenir proche dépasser celle de la Chine, l’Inde sembleêtre un remarquable cas d’étude. Cependant, les clichés persistent dans un pays où deux aspects seulement sont le plus souvent mis en avant.D’une part, l’Inde est considérée comm

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Ben, Jeddou Roukaya. "Football Selection Optimization through the Integration of Management Theories, AI and Multi-criteria Decision Making." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCG009.

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Le travail de recherche décrit dans cette thèse s'inscrit dans le contexte de la gestion d'un club de football professionnel, où l'établissement d'un équilibre humain et financier est essentiel pour assurer la pérennité des organisations sportives. Dans le management du football, les méthodes traditionnelles de sélection des joueurs ont historiquement guidé le processus de prise de décision au niveau des clubs. Ce processus de décision stratégique, souvent subjectif et incertain, peut avoir un impact significatif sur les performances financières, économiques et sportives de l’équipe.Alors que

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Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a pr

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Bosyuk. "AI-DRIVEN ONLINE GRAPHIC DESIGN: SWOT-ANALYSIS." Thesis, 2018. http://er.nau.edu.ua/handle/NAU/33673.

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HUANG, CHUN-WEI, and 黃俊維. "An AI Driven Risk Assess Framework to Evaluate DDoS Cyber Attacks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/t9qnmz.

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碩士<br>國立臺灣科技大學<br>資訊管理系<br>107<br>The cloud computing and Internet of Things (IoT) have become two key technologies to meet future business requirements. However, a massive scale of Distributed Denial-of-Service (DDoS) has been widely applied to congest network critical links and to paralyze the cloud and IoT service. This is mainly due to DDoS is easily implemented, obfuscated, and occulted by launching large-scale legitimate low-speed flows and rolling target links to paralyze target network areas. Many metrics and risk access management frameworks to evaluate the impact of DDoS are proposed

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Spanaki, K., Uthayasankar Sivarajah, M. Fakhimi, S. Despoudi, and Zahir Irani. "Disruptive Technologies in Agricultural Operations: A Systematic Review of AI-driven AgriTech Research." 2020. http://hdl.handle.net/10454/18287.

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Yes<br>The evolving field of disruptive technologies has recently gained significant interest in various industries, including agriculture. The fourth industrial revolution has reshaped the context of Agricultural Technology (AgriTech) with applications of Artificial Intelligence (AI) and a strong focus on data-driven analytical techniques. Motivated by the advances in AgriTech for agrarian operations, the study presents a state-of-the-art review of the research advances which are, evolving in a fast pace over the last decades (due to the disruptive potential of the technological context). Fol

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COCCIA, ROSSANA. "Methodologies for the assessment of industrial and energy assets, based on data analysis and BI." Doctoral thesis, 2023. https://hdl.handle.net/11573/1663568.

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In July 2020, post pandemic onset, Europe launched the Next Generation EU (NGEU) program. The amount of resources deployed to revitalize Europe has reached 750 billion. The NGEU initiative directs significant resources to Italy. These funds can enable our country to boost investment and increase employment. The missions of Italian Recovery and Resilience Plan (PNRR) include digitization, innovation and sustainable mobility (rail network investments, etc.). In this context, this doctorate thesis discusses the importance of infrastructure for society with a special focus on energy, railway and m

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(10695907), Wo Jae Lee. "AI-DRIVEN PREDICTIVE WELLNESS OF MECHANICAL SYSTEMS: ASSESSMENT OF TECHNICAL, ENVIRONMENTAL, AND ECONOMIC PERFORMANCE." Thesis, 2021.

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<p>One way to reduce the lifecycle cost and environmental impact of a product in a circular economy is to extend its lifespan by either creating longer-lasting products or managing the <a>product properly during its use stage. Life extension of a product is envisioned to help better utilize </a>raw materials efficiently and slow the rate of resource depletion. In the case of manufacturing equipment (e.g., an electric motor on a machine tool), securing reliable service life as well as the life extension are important for consistent production and operational excellence in a factory. However, ma

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"Designing an AI-driven System at Scale for Detection of Abusive Head Trauma using Domain Modeling." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.57221.

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abstract: Traumatic injuries are the leading cause of death in children under 18, with head trauma being the leading cause of death in children below 5. A large but unknown number of traumatic injuries are non-accidental, i.e. inflicted. The lack of sensitivity and specificity required to diagnose Abusive Head Trauma (AHT) from radiological studies results in putting the children at risk of re-injury and death. Modern Deep Learning techniques can be utilized to detect Abusive Head Trauma using Computer Tomography (CT) scans. Training models using these techniques are only a part of building AI

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Lee, Yi-Hsuan, and 李依瑄. "Dynamic AI-Driven Priority-Based Packet Scheduling for Wireless Medical Networks with Selfish and Unselfish Users." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/44p9nc.

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碩士<br>國立交通大學<br>電信工程研究所<br>106<br>In this thesis, we propose an AI-driven priority-based scheduling algorithm for wireless medical networks with the selfish and unselfish gateways. Unlike most of existing works, we focus on beyond wireless body area network (beyond-WBAN) communications between gateways and the base station. We propose an intelligent priority-based packet scheduling algorithm. For the expectation-based detection scheme, we derive analytic results that are consistent with simulation results. In addition, we proposed a novel AI-based scheme for the BS to detect the selfish misbeh

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賴柏宗. "The Forces Driven By Elementary Schools-A Creative Study of the Identity System in Ren-Ai Elementary School." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/558s3n.

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碩士<br>國立臺灣師範大學<br>美術學系<br>97<br>This research examines the concept , timing, and methods of implementation of the identity system in elementary schools in Taiwan based on the corporate identity system. It probes into the procedures of introducing the identity system into public elementary schools. In order to study the visual identity of the public elementary schools in Taipei City, insignias, the most commonly adopted visual symbols, are categorized to analyze their characteristics of style and their application. This then becomes the basis of my creative desgin. Furthermore, data is c

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Nilsson, Adam, and Abbas Hathalia. "Drömmen om Artificiell Intelligens (AI) : En studie angående utmaningar med att implementera Artificiell Intelligens inom myndigheter." Thesis, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25471.

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The purpose of the study was to find out what challenges governments have encountered when implementing Artificial Intelligence. The method used was qualitative and the interviews were conducted remotely. Four governments were interviewed where respondents were asked questions about what they had experienced as challenges in the implementation of AI. The results were analyzed against previous studies and compiled by picking out themes from the transcribed interviews. The results of the survey identify a number of challenges linked to three main themes: the lack of knowledge, challenges aroun

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Della, Santa Francesco. "Data-Driven Deep Learning Methods for Physically-Based Simulations." Doctoral thesis, 2021. http://hdl.handle.net/11583/2971158.

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In this doctoral thesis, we study and analyze Deep Learning applications to learn physically-based simulations’ results. The first type of application is focused on underground flow analysis problems modeled through Discrete Fracture Networks, training Deep Learning models as reduced models for Uncertainty Quantification. In particular, we look for trained Neural Networks able to predict the outflowing fluxes of a Discrete Fracture Network model. These Neural Networks are also exploited to define a new backbone identification method for a network of underground fractures. The second type of ap

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Fynn, Angelo Winston Ronaldo. "An appreciative enquiry of an NGO that delivers empowerment driven education support services." Diss., 2011. http://hdl.handle.net/10500/5104.

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The South African education system is in crisis; with low matric pass rates, high dropout rates, teacher strikes, rising pregnancy rates among teenaged learners, and assaults by learners on educators and other learners. The system is unable to cope with the multiple demands placed on it and a number of NGOs are stepping in to aid the system. This study is an evaluation of an NGO aimed at developing learners through the application of the Appreciative Inquiry approach. The Appreciative Inquiry approach is a method for generating change within an organisation by looking at what works in the orga

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SBRANA, ALESSANDRO. "Faculty Development Centri di Professionalità Accademica (CPA)." Doctoral thesis, 2018. http://hdl.handle.net/11393/251175.

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mondo universitario ha subito un’ondata di cambiamenti che si possono ricondurre alla ricerca dell’eccellenza, declinata secondo le due dimensioni della valutazione e della rendicontazione. Tre sono quelli più evidenti: il primo, il passaggio da una ricerca curiosity driven a una ricerca funzionale al raggiungimento di risultati valutabili in tempi brevi; dalla ricerca pura a quella applicata, da un approccio problem-making a uno problem-solving, da una conoscenza come processo a una conoscenza come prodotto, da un modello disinteressato a uno utilitaristico (Barnett, 1994); il secondo, riguar

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