Relevant bibliographies by topics / Artificial intelligence : Research

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial intelligence : Research'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Artificial intelligence : Research"

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Musib, Mrinal, Feng Wang, Michael A. Tarselli, et al. "Artificial intelligence in research." Science 357, no. 6346 (2017): 28–30. http://dx.doi.org/10.1126/science.357.6346.28.

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Nayak, Veerabhadra Sanekal, Mohammed Saleem Khan, Bharat Kumar Shukla, and Pranjal R. Chaturvedi. "Artificial intelligence in clinical research." International Journal of Clinical Trials 3, no. 4 (2016): 187. http://dx.doi.org/10.18203/2349-3259.ijct20163955.

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<p>Envision dedicating fifteen years to a critical interest and emptying staggering amount of funds into it, at the same time confronting a disappointment rate of 95 percent. That is the crippling reality for pharmaceutical organizations, which toss billions of dollars consistently toward medications that possible won't work – and after that do a reversal to the planning phase and do it once more. Today's medications go to the business sector after an extensive, very costly process of drug development. It takes anywhere in the range of 10 to 15 years, here and there significantly more, t
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Xu, Li Da. "Systems research on artificial intelligence." Systems Research and Behavioral Science 39, no. 3 (2022): 359–60. http://dx.doi.org/10.1002/sres.2839.

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Saravanakumar, R., and Subhash Parija. "Artificial Intelligence and Interdisciplinary Research." Journal of Scientific Dentistry 11, no. 2 (2021): 43. http://dx.doi.org/10.5005/jp-journals-10083-1007.

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Kishore, Chandra, and Priyanka Bhadra. "Artificial Intelligence in Cancer Research." Science Dialectica 01, no. 1 (2021): 6–8. http://dx.doi.org/10.54162/sd01-25201/03.

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The analytical power of artificial intelligence can revolutionize the field of cancer research, diagnosis, and treatment by analyzing the huge raw data available in biomedical science. In this review, we have discussed current challenges, development, and future perspectives of artificial intelligence in cancer research.
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Kawahara, Yoshiro, and Keisuke Hori. "Artificial intelligence research in gastroenterology." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 133, no. 2 (2021): 116–19. http://dx.doi.org/10.4044/joma.133.116.

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Pidd, M. "Artificial Intelligence in Operational Research." European Journal of Information Systems 3, no. 3 (1994): 243–44. http://dx.doi.org/10.1057/ejis.1994.27.

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Rigas, Booth, Briggs, Murata, and Stone. "Artificial Intelligence Research in Japan." Computer 18, no. 9 (1985): 83–90. http://dx.doi.org/10.1109/mc.1985.1663007.

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Fan, J., M. Campbell, and B. Kingsbury. "Artificial intelligence research at IBM." IBM Journal of Research and Development 55, no. 5 (2011): 16:1–16:4. http://dx.doi.org/10.1147/jrd.2011.2163282.

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Grossi, Enzo, and Massimo Buscema. "Artificial intelligence and outcome research." Drug Development Research 67, no. 3 (2006): 227–44. http://dx.doi.org/10.1002/ddr.20081.

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Dissertations / Theses on the topic "Artificial intelligence : Research"

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France, Robert Karl. "An artificial intelligence environment for information retrieval research." Thesis, Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/91091.

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The CODER (COmposite Document Expert/Extended/Effective Retrieval) project is a multi-year effort to investigate how best to apply artificial intelligence methods to increase the effectiveness of information retrieval systems. Particular attention is being given to analysis and representation of heterogeneous documents, such as electronic mail digests or messages, which vary widely in style, length, topic, and structure. In order to ensure system adaptability and to allow reconfiguration for controlled experimentation, the project has been designed as a moderated expert system. This thesis cov
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Vaidya, Priyanka S. "Artificial Intelligence Approach to Breast Cancer Classification." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1240957599.

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Nguyen, Quynh. "Three Essays on Artificial Intelligence Adoption and Use." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538732/.

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Artificial intelligence (AI) is quickly transforming business operations and society, as AI capabilities are incorporated into applications ranging from mobile personal assistants to self-driving cars. The potentially disruptive nature of AI calls for an extensive investigation into all aspects of AI-human interactions at individual, group, organizational and market levels. However, there is paucity of academic information systems (IS) research in this area that goes beyond the development and testing of specific narrow AI capabilities. AI represents an important opportunity for organizationa
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Quantrille, Thomas E. "Prolog and artificial intelligence in chemical engineering." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-06062008-170029/.

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Iturrioz, Amaia Bernaras. "A method for understanding experimental computer programs in artificial intelligence research." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/20026.

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This thesis is concerned with the use of Software Engineering abstraction constructs to help in the process of understanding computer programs that are built as part of experiments in the Symbolic Paradigm. It is also concerned with developing and testing a method to analyse these programs in an organised and structured way. In a series of three experiments, the use of abstraction constructs to help the process of transforming a program to a more abstract form, and how to do this in a structured way, was incrementally investigated. This involved first exploring the use of abstraction construct
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Chierotti, Marco 1960. "Factory design layout: A combined artificial intelligence and simulation approach." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/291994.

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This thesis proposes a methodology for factory layout synthesis that combines the symbolic and numerical approaches. The layout model is represented as a loosely packed arrangement of rectangles with sides parallel to two orthogonal directions. Solutions must satisfy a set of qualitative and quantitative constraints and must optimize material handling costs. Qualitative constraints are specified using a rule based approach. Quantitative constraints and material handling costs are incorporated into a numerical, non linear-optimization problem. Optimal solutions are generated by inserting one de
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Perera, Walpola Layantha, Heike Messemer, Matthias Heinz, and Michael Kretzschmar. "Detecting Treasures in Museums with Artificial Intelligence." TUDpress, 2020. https://tud.qucosa.de/id/qucosa%3A73554.

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Museums around the world possess hundreds of thousands of priceless objects, which have stories to tell about human history. While students and scholars study them, even the general public is interested in these stories. If there is a way to automate the information delivery system about these objects it will be of immense value, e.g. it will support students to study these objects and speed up research. Adaptive blended learning options are conceivable, which can perfectly merge digital analysis and onsite viewing. Thus, the preparation and post-processing of studied objects is just as concei
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Terras, Melissa M. "Image to interpretation : towards an intelligent system to aid historians in the reading of the Vindolanda texts." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:cfb340cc-b411-4c90-80d3-ca1ccb9d84b4.

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The ink and stylus tablets discovered at the Roman Fort of Vindolanda have provided a unique resource for scholars of ancient history. However, the stylus tablets in particular have proved extremely difficult to read. The aim of this thesis is to explore the extent to which techniques from Artificial Intelligence can be used to develop a system that could aid historians in reading the stylus texts. This system would utilise image processing techniques that have been developed in Engineering Science to analyse the stylus tablets, whilst incorporating knowledge elicited from experts working on t
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Liu, Meimei. "Research and implementation of artificial neural networks models for high velocity oxygen fuel thermal spraying." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCA003.

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Dans les procédés de projection thermique du type HVOF (High Velocity Oxygen Fuel), les propriétés du revêtement sont sensibles aux caractéristiques des particules en vol qui dépendent elles-mêmes des paramètres opératoires. En raison de la complexité des réactions chimiques et des processus thermodynamiques qui interviennent dans la formation du dépôt, l’obtention d’un modèle multi-physique complet et l'accès à une description quantitative du procédé HVOF représentent encore actuellement un défi scientifique majeur. L'étude réalisée a eu pour but de développer une méthodologie robuste reposan
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Rubano, Vincent. "Social network analysis| Determining betweenness centrality of a network using Ant Colony Optimization." Thesis, Southern Connecticut State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10108549.

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<p> Betweenness centrality refers to the measure of a node&rsquo;s influence on the transfer of items within a network. It is a mechanism used to identify participants within an interconnected system that are responsible for processing high frequencies of traffic. This thesis examines the performance characteristics of a specialized artificial intelligence algorithm known as Ant Colony Optimization and its application in the field of social network analysis. The modeling and examination of such algorithms is important largely because of its ability to span across multiple fields of study as we
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Books on the topic "Artificial intelligence : Research"

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Jembere, Edgar, Aurona J. Gerber, Serestina Viriri, and Anban Pillay, eds. Artificial Intelligence Research. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95070-5.

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Gerber, Aurona, ed. Artificial Intelligence Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66151-9.

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Pillay, Anban, Edgar Jembere, and Aurona Gerber, eds. Artificial Intelligence Research. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22321-1.

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B, Bernstein Randal, and Curtis Wesley N, eds. Artificial intelligence: New research. Nova Science Publishers, 2008.

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Davim, J. Paulo. Artificial intelligence in manufacturing research. Nova Science Publishers, 2010.

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Catalonian Conference on AI (8th 2005 Alghero, Italy). Artificial intelligence research and development. IOS Press, 2005.

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Cecilio, Angulo, Godo L, and Associació Catalana d'Intel·ligència Artificial, eds. Artificial intelligence research and development. IOS Press, 2007.

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1958-, Doukidis Georgios I., and Paul Ray J, eds. Artificial intelligence in operational research. Macmillan, 1992.

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Holsapple, C. W. Operations research and artificial intelligence. Ablex Pub. Corp., 1994.

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Intelligence, International Conference of the Catalan Association for Artificial. Artificial intelligence research and development. IOS Press, 2006.

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Book chapters on the topic "Artificial intelligence : Research"

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Kruse, Rudolf, Erhard Schwecke, and Jochen Heinsohn. "Related Research." In Artificial Intelligence. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76702-9_15.

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Greenberg, Harvey J., and Kenneth De Jong. "Artificial intelligence." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_42.

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Cowling, Peter I., Harvey J. Greenberg, and Kenneth De Jong. "Artificial Intelligence." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_42.

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Yang, Bin, Zhouzhou Huang, and Wenyu Yang. "Research on Control Sensor Allocation of Industrial Robots." In Artificial Intelligence. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20503-3_31.

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Srivastava, Priyanka. "Virtual and Augmented Reality Mental Health Research and Applications." In Artificial Intelligence. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003140351-11.

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Srivastava, Priyanka. "Virtual and Augmented Reality Mental Health Research and Applications." In Artificial Intelligence. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003140351-11.

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Friedman, Cindy. "Human-Robot Moral Relations: Human Interactants as Moral Patients of Their Own Agential Moral Actions Towards Robots." In Artificial Intelligence Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66151-9_1.

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Masha, Ditebogo, and Michael Burke. "Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification." In Artificial Intelligence Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66151-9_10.

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Pillay, Bradley Joel, Anban W. Pillay, and Edgar Jembere. "Hybridized Deep Learning Architectures for Human Activity Recognition." In Artificial Intelligence Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66151-9_11.

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Sooklal, Shivaar, Terence L. van Zyl, and Andrew Paskaramoorthy. "DRICORN-K: A Dynamic RIsk CORrelation-driven Non-parametric Algorithm for Online Portfolio Selection." In Artificial Intelligence Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66151-9_12.

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Conference papers on the topic "Artificial intelligence : Research"

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Sarkisian, D. S., and S. R. Saakian. "RESEARCH OF TRENDS IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.497-499.

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The relevance of the chosen topic is due to the fact that artificial intelligent systems already exist and successfully replace people in many professions. And then everything will only get more serious. The article shows the main areas of work in the field of artificial intelligence
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Prosper, Harrison B. "Artificial intelligence." In ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH: VII International Workshop; ACAT 2000. AIP, 2001. http://dx.doi.org/10.1063/1.1405342.

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Svoboda, Petr. "ARTIFICIAL INTELLIGENCE IN EDUCATION." In 14th annual International Conference of Education, Research and Innovation. IATED, 2021. http://dx.doi.org/10.21125/iceri.2021.1838.

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CAO, AN-YAN, QIAN LV, and LI-GONG CUI. "RESEARCH ON THE TRAINING OF ELECTROMECHANICAL COMPLEX TALENTS IN HIGHER VOCATIONAL COLLEGES UNDER THE BACKGROUND OF ARTIFICIAL INTELLIGENCE." In 2021 International Conference on Education, Humanity and Language, Art. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/ehla2021/35718.

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The new technology in artificial intelligence has a far-reaching impact on the intelligent development of the manufacturing industry. These new skill requirements are bound to promote the reform of vocational education in the field of intelligent control. It is urgent to train a group of highly skilled compound talents who can adapt to the development of artificial intelligence and intelligent manufacturing and can engage in the field of intelligent control technology. In this background, this paper takes Binzhou Polytechnic as an example, which is a high level vocational college with Chinese
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Hauer, Thomas. "Ethical Behavior and Legal Regulations in Artificial Intelligence." In CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/carma2022.2022.15013.

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The European Union is also working intensively on the ethical development and use of artificial intelligence. The European Parliament, which commented on the issue of intelligent autonomous robots in January 2017, expressed the need to supplement the existing legal framework with ethical principles and an "effective ethical framework for the development, manufacture, use and modification of robots". This ethical framework should be based on the principles of expediency, harmlessness, autonomy and justice. The study analyzes the interconnection of ethical and legal rules in the field of AI and
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Ahn, Michael J., and Yu-Che Chen. "Artificial Intelligence in Government:." In dg.o '20: The 21st Annual International Conference on Digital Government Research. ACM, 2020. http://dx.doi.org/10.1145/3396956.3398260.

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Muarraf, Ayesha, Haseeb Ahmad, Waqar Ahmad, Nadeem Faisal, and Mudassar Ahmad. "Research Trend Analysis of Artificial Intelligence." In 2020 30th International Conference on Computer Theory and Applications (ICCTA). IEEE, 2020. http://dx.doi.org/10.1109/iccta52020.2020.9477684.

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Chen, Lijun, and Xiaoru Chen. "Research into risks from artificial intelligence." In 2018 2nd International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/aeecs-18.2018.33.

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Al-Mannai, Rashid Ebrahim, Mohammed Hamad Almerekhi, Mohammed Abdulla Al-Mannai, et al. "Artificial Intelligence in Predicting Heart Failure." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0130.

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Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), and cognitive computer can play a critical role in the early detection and diagnosis of Heart Failure Detection, as well as outcome prediction and prognosis evaluation. The availability of large datasets from difference sources can be leveraged to build machine learning models that can empower clinicians by providing early warnings and insightful information on the underlyin
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Mühlroth, Christian. "Artificial Intelligence as Innovation Accelerator." In SIGMIS-CPR '20: 2020 Computers and People Research Conference. ACM, 2020. http://dx.doi.org/10.1145/3378539.3393869.

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Reports on the topic "Artificial intelligence : Research"

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Facciola, John, and Nicholas Mignanelli. Artificial Intelligence and the Courts: Artificial Intelligence, Legal Research, and Judicial Analytics. American Association for the Advancement of Science, 2022. http://dx.doi.org/10.1126/aaas.adf0787.

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Stepnek, Steve. Artificial Intelligence/Expert System Cost Research Roadmap. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada186339.

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Buchanan, Ben. A National Security Research Agenda for Cybersecurity and Artificial Intelligence. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/2020ca001.

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Machine learning advances are transforming cyber strategy and operations. This necessitates studying national security issues at the intersection of AI and cybersecurity, including offensive and defensive cyber operations, the cybersecurity of AI systems, and the effect of new technologies on global stability.
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Murdick, Dewey, and Patrick Thomas. Patents and Artificial Intelligence: A Primer. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200038.

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Patent data can provide insights into the most active countries, fields and organizations in artificial intelligence research. This data brief analyzes worldwide trends in AI patenting to offer metrics on inventive activity.
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Henghold, William M., and Thomas Triscari. A Research Planning Assessment for Applications of Artificial Intelligence in Manufacturing. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada168692.

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Hannas, William, Huey-Meei Chang, Daniel Chou, and Brian Fleeger. China's Advanced AI Research: Monitoring China's Paths to "General" Artificial Intelligence. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20210064.

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China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.
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Gomes, Carla P. Artificial Intelligence and Operations Research: Challenges and Opportunities in Planning and Scheduling. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387350.

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Baker, Nathan, Frank Alexander, Timo Bremer, et al. Brochure on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1484362.

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Di Benigno, Kathryn. JAYCOR Work in Support of the Navy Center for Applied Research in Artificial Intelligence. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada196108.

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Biagioni, David, John Farrell, Venu Garikapati, et al. Advanced Computing, Data Science, and Artificial Intelligence Research Opportunities for Energy-Focused Transportation Science. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1812196.

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