Proceedings of Fifth Doctoral Symposium on Computational Intelligence: DoSCI 2024, Volume 2 (Lecture Notes in Networks and Systems, 1096)

Proceedings of Fifth Doctoral Symposium on Computational Intelligence:DoSCI 2024, Volume 2 (Lecture Notes in Networks and Systems, 1096)

Proceedings of Fifth Doctoral Symposium on Computational Intelligence:DoSCI 2024, Volume 2 (Lecture Notes in Networks and Systems, 1096)

by: Abhishek Swaroop (Editor), Vineet Kansal (Editor), Giancarlo Fortino (Editor), Aboul Ella Hassanien (Editor)

Publisher: Springer

Edition: 2024th

Publication Date: 2025-02-19

Language: English

Print Length: 599 pages

ISBN-10: 9819771773

ISBN-13: 9789819771776

Book Description

This book features high-quality research papers presented at Fifth Doctoral Symposium on Computational Intelligence (DoSCI 2024), jointly organized by Institute of Engineering & Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, on May 10, 2024. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making.

Editorial Reviews

This book features high-quality research papers presented at Fifth Doctoral Symposium on Computational Intelligence (DoSCI 2024), jointly organized by Institute of Engineering & Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, on May 10, 2024. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making.

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