Computational Intelligence in Machine Learning
Proceedings of the 3rd International Conference ICCIML 2023
Series: Lecture Notes in Electrical Engineering; 1400;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 2 July 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819643905
- Binding Hardback
- No. of pages586 pages
- Size 235x155 mm
- Language English
- Illustrations XIV, 586 p. 247 illus., 199 illus. in color. Illustrations, black & white 675
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Long description:
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This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.
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