Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2023
Language: English
Published by Springer Nature Singapore, 2023
- Softcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
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Zustand: Hervorragend | Seiten: 776 | Sprache: Englisch | Produktart: Bücher | This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27¿28, 2023. 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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- Title
- Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2023
- Author
- Unbekannt
- Publisher
- Springer Nature Singapore
- Publication year
- 2023
- Condition
- Hervorragend
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9819937337
- ISBN 13
- 9789819937332
- Seller catalogs
- Bücher
This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. 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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About the Author
Janmenjoy Nayak is working as Assistant Professor, P.G. Dept. of Computer Science, Maharaja Sriram Chandra Bhanja Deo (MSCB) University, Baripada, Odisha, India. He has published more than 210+ research papers in various reputed peer-reviewed referred journals, international conferences, and chapters. Being two times Gold Medalist in Computer Science in his career, he has been awarded with INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level) and Best Researcher Award from Jawaharlal Nehru University of Technology, Kakinada, Andhra Pradesh, for the AY: 2018-19, and many more awards to his credit. He has edited 20+ books and 15+ special issues in various topics including data science, machine learning, and soft computing with reputed international publishers like Springer, Elsevier, Inderscience, etc. His area of interest includes data mining, nature-inspired algorithms, and soft computing.
Bighnaraj Naik is Assistant Professor in the Department of Computer Applications, Veer Surendra Sai University of Technology, Burla, Odisha, India. He received his Doctoral degree from the Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India, Master's degree from SOA University, Bhubaneswar, Odisha, India, and Bachelor's degree from National Institute of Science and Technology, Berhampur, Odisha, India. He has published more than 190+ research papers in various reputed peer-reviewed international conferences, referred journals, and chapters. He has more than ten years of teaching experience in the field of Computer Science and Information Technology. His area of interest includes data mining, soft computing, etc. Currently, he is guiding four Ph.D. scholars and six master students.
Vimal Shanmuganathan is working as Associate Professor in the Dept of Artificial Intelligence and Data Science, Ramco Institute of Technology, Tamil Nadu, India. He received Ph.D. degree in Cognitive Radio Networking and Security Techniques using AI from Anna University, Chennai, Tamil Nadu. He is working as Associate Professor in the Department of Computer Science and Engineering, Ramco Institute of Technology, Tamil Nadu, India. His areas of interest include game modeling, artificial intelligence, cognitive radio networks, and network security. He has published around 80 papers. He has hosted 21 special issues in IEEE, Elsevier, Springer, and CMC Tech Science journals.
"About the title" may belong to another edition of this title.
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