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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2024, Volume 1 (Lecture Notes in Networks and Systems)

By: Asit Kumar Das (Edited by) , Bighnaraj Naik (Edited by) , Danilo Pelusi (Edited by) , Janmenjoy Nayak (Edited by) , M. Himabindu (Edited by) , S. Vimal (Edited by)

Extended Catalogue

Ksh 41,050.00

Format: Paperback or Softback

ISBN-10: 9819780896

ISBN-13: 9789819780891

Collection / Series: Lecture Notes in Networks and Systems

Collection Type: Publisher collection

Edition statement: 2025 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Nature

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 5th, 2025

Publication Status: Active

Product extent: 644 Pages

Product Classification / Subject(s): Network security
Pattern recognition
Image processing

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This book features high-quality research papers presented at the 6th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2024), held at Maharaja Sriram Chandra Bhanja Deo University (MSCB University), Baripada, Odisha, India, during March 15–16, 2024. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

This book features high-quality research papers presented at the 6th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2024), held at Maharaja Sriram Chandra Bhanja Deo University (MSCB University), Baripada, Odisha, India, during March 15–16, 2024. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.


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