Artificial intelligence and computer vision in forensic sciences
RechtsmedizinAbstract Background The integration of artificial intelligence (AI) and computer vision (CV) into forensic sciences has transformed the analysis of violence-related evidence, improving precision, objectivity and efficiency across various forensic applications.
Rafael Morán-Torres +4 more
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Physiology of man and animals in the Tenth Five-Year Plan: Proceedings of the Thirteenth Congress of the I. P. Pavlov All-Union Physiological Society [PDF]
Research in the field of animal and human physiology is reviewed. The following topics on problems of physiological science and related fields of knowledge are discussed: neurophysiology and higher nervous activity, physiology of sensory systems ...
Lange, K. A.
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Artificial Intelligence and Computational Science
, 2022 Repin, Sergey, Neittaanmäki, Pekka
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Is Generative Artificial Intelligence Ready for Computational Social Science?
In this article, we analyse the potential of Large Language Models (LLMs) for social simulation by assessing their ability to: (a) make decisions aligned with explicit preferences; (b) adhere to principles of rationality; and (c) refine their beliefs to anticipate the actions of other agents.
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Research on Computer Science and Artificial Intelligence [PDF]
Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016), 2016 Xinyang Wang, Qi Wang
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Artificial intelligence in computer science and mathematics education [PDF]
, 2019 In this thesis I examine how Artificial Intelligence (AI) techniques can help Computer Science students learn programming and mathematics skills more efficiently using algorithms and concepts such as Predictive Modelling, Machine Learning, Deep Learning, Representational Learning, Recommender Systems and Graph Theory.
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MODERN COMPUTER SCIENCE: FROM ROBOTICS TO ARTIFICIAL INTELLIGENCE
Universum:Technical sciences, 2023 Adela Guliyeva, Kanan Huseynaliev
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Building centaur responders: is emergency management ready for artificial intelligence? [PDF]
DisastersWhyte C, Haupt B'.
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Correction: LSML-SF: a lightweight stacked ML approach for spreading factor allocation in mobile IoT LoRaWAN networks. [PDF]
Front Artif IntellFarhad A +5 more
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Editorial: Robust machine learning. [PDF]
Front Artif IntellAn Y, Zhao X, Du M.
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