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Computing and Machine Learning : Proceedings of CML 2024, Volume 1 (Lecture Notes in Networks and Systems)

By: Jagdish Chand Bansal (Edited by) , Said Salhi (Edited by) , Samarjeet Borah (Edited by) , Shahid Hussain (Edited by)

Extended Catalogue

Ksh 45,600.00

Format: Paperback or Softback

ISBN-10: 9819765870

ISBN-13: 9789819765874

Collection / Series: Lecture Notes in Networks and Systems

Collection Type: Publisher collection

Edition statement: 2024 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Nature

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 23rd, 2024

Publication Status: Active

Product extent: 515 Pages

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This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29–30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human–robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.

This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29–30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human–robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.


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