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Computational Intelligence for Connective Cognition Networks: Advances and Applications - Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling Alessandro Bruno-Zahid Akhtar-Kirti Aggarwal-Anuja
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Computational Intelligence for Connective Cognition Networks: Advances and Applications - Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling
Alessandro Bruno-Zahid Akhtar-Kirti Aggarwal-Anuja
This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | November 24, 2025 |
| ISBN13 | 9781032942346 |
| Publishers | Taylor & Francis Ltd |
| Pages | 214 |
| Dimensions | 242 × 164 × 19 mm · 496 g |
| Language | English |
| Editor | Aggarwal, Kirti (Jaypee Institute of Information Technology, Noida, India) |
| Editor | Akhtar, Zahid (State University of New York Polytechnic Institute, USA) |
| Editor | Arora, Anuja (Jaypee Institute of Information Technology, Noida, India) |
| Editor | Bruno, Alessandro (IULM University, Italy) |
