Wow! eBook
Computational Intelligence in Pattern Recognition:Proceedings of CIPR 2024, Volume 1 (Lecture Notes in Networks and Systems, 1152)
by: Asit Kumar Das (Editor), Janmenjoy Nayak (Editor), Bighnaraj Naik (Editor), M. Himabindu (Editor), S. Vimal (Editor), Danilo Pelusi (Editor)
Publisher: Springer
Edition: 2025th
Publication Date: 2025-03-05
Language: English
Print Length: 671 pages
ISBN-10: 9819780896
ISBN-13: 9789819780891
Book Description
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.
Editorial Reviews
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.
