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Computation of Artificial Intelligence and Machine Learning : First International Conference, ICCAIML 2024, Jaipur, India, January 18–19, 2024, Proceedings, Part II (Communications in Computer and Information Science)

By: Amit Kumar Bairwa (Edited by) , Milan Tuba (Edited by) , Santosh Kumar Vishwakarma (Edited by) , Thittaporn Ganokratanaa (Edited by) , Varun Tiwari (Edited by)

Extended Catalogue

Ksh 14,800.00

Format: Paperback or Softback

ISBN-10: 3031714830

ISBN-13: 9783031714832

Collection / Series: Communications in Computer and Information Science

Collection Type: Publisher collection

Edition statement: 2024 ed.

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 23rd, 2024

Publication Status: Active

Product extent: 367 Pages

Product Classification / Subject(s): Expert systems / knowledge-based systems
Machine learning

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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.

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.


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