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Computing and machine learning = pro...

International Conference on Computing and Machine Learning ((2024 :)

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Computing and machine learning = proceedings of CML 2024.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computing and machine learning/ edited by Jagdish Chand Bansal ... [et al.].
Reminder of title:	proceedings of CML 2024.
remainder title:	CML 2024
other author:	Bansal, Jagdish Chand.
corporate name:	International Conference on Computing and Machine Learning
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxiii, 526 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Author-Centric Pattern Detection in Scopus Citation Network via Community Structures -- K-Nearest Neighbor Based Friends Suggestion on Social Media -- Software Reliability Prediction and Regression Analysis with Family of Lindley -- Distribution -- Reinventing Urban Mobility with Reinforcement Learning in Vehicular Ad-Hoc Networks -- Refining the Giants: A Comprehensive Review of Fine-Tuning Strategies for Large Language Models.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-97-7839-3
ISBN:	9789819778393

Computing and machine learning = proceedings of CML 2024.. Volume 2 /
Computing and machine learningproceedings of CML 2024.Volume 2 /[electronic resource] :CML 2024edited by Jagdish Chand Bansal ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxiii, 526 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 11442367-3389 ;. - Lecture notes in networks and systems ;v. 1144..

Author-Centric Pattern Detection in Scopus Citation Network via Community Structures -- K-Nearest Neighbor Based Friends Suggestion on Social Media -- Software Reliability Prediction and Regression Analysis with Family of Lindley -- Distribution -- Reinventing Urban Mobility with Reinforcement Learning in Vehicular Ad-Hoc Networks -- Refining the Giants: A Comprehensive Review of Fine-Tuning Strategies for Large Language Models.

This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India, during April 29 - 30, 2024. The volume 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 health care, 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.

ISBN: 9789819778393

Standard No.: 10.1007/978-981-97-7839-3doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .I58 2024

Dewey Class. No.: 006.3

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520 $a This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India, during April 29 - 30, 2024. The volume 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 health care, 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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