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portada Computational Intelligence in Pattern Recognition. Proceedings of CIPR 2024, Volume 2
Type
Physical Book
Collection
Lecture Notes in Networks and Systems
Year
2025
Pages
682
Format
Paperback
Dimensions
23.5x15.5 cm
ISBN13
9789819780921

Computational Intelligence in Pattern Recognition. Proceedings of CIPR 2024, Volume 2

Asit Kumar Das;S. Vimal;Janmenjoy Nayak;Hima Bindu Maringanti;Danilo Pelusi;Bighnaraj Naik (Author) · Springer Verlag, Singapore · Paperback

Computational Intelligence in Pattern Recognition. Proceedings of CIPR 2024, Volume 2 - Asit Kumar Das;S. Vimal;Janmenjoy Nayak;Hima Bindu Maringanti;Danilo Pelusi;Bighnaraj Naik

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Synopsis "Computational Intelligence in Pattern Recognition. Proceedings of CIPR 2024, Volume 2"

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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