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Titlebook: Computation of Artificial Intelligence and Machine Learning; First International Amit Kumar Bairwa,Varun Tiwari,Thittaporn Ganokrat Confer

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书目名称Computation of Artificial Intelligence and Machine Learning
副标题First International
编辑Amit Kumar Bairwa,Varun Tiwari,Thittaporn Ganokrat
视频videohttp://file.papertrans.cn/243/242241/242241.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Computation of Artificial Intelligence and Machine Learning; First International  Amit Kumar Bairwa,Varun Tiwari,Thittaporn Ganokrat Confer
描述.The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur, India, in January 18–19, 2024. ..The 60 papers included in these volumes were carefully reviewed and selected from 645 submissions. These papers focus on various subject areas within the field of Artificial Intelligence and Machine Learning, such as Neural Networks and Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Data Mining and Big Data Analytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics..
出版日期Conference proceedings 2025
关键词Artificial Intelligence; Machine Learning; Computer Vision; Natural language processing, ; Information S
版次1
doihttps://doi.org/10.1007/978-3-031-71484-9
isbn_softcover978-3-031-71483-2
isbn_ebook978-3-031-71484-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-3-642-80065-8ly by lack of sleep but can also due to medications, drinking alcohol, shift work or untreated sleep disorders. To avoid these kinds of activities, a warning sound or an alarm would be produced to alert the drivers while driving which helps them concentrate on the road. To implement this method, mac
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Konrad Fleischer,Hans Heinz Naumann19 pandemic. Amidst strained community health services, there‘s a pressing demand to identify mortality predictors and enhance patient care. This study introduces an innovative approach, utilizing ensemble learning techniques for COVID-19 mortality prognosis based on accessible blood test outcomes.
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