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Record Nr. |
UNINA9911011655303321 |
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Autore |
Bhateja Vikrant |
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Titolo |
Evolution in Computational Intelligence : Proceedings of the 12th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2024) / / edited by Vikrant Bhateja, Preeti Patel, Jinshan Tang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (803 pages) |
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Collana |
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Smart Innovation, Systems and Technologies, , 2190-3026 ; ; 436 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computer networks - Security measures |
Signal processing |
Computational Intelligence |
Artificial Intelligence |
Mobile and Network Security |
Signal, Speech and Image Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Effectiveness of Passive Thermography in Predicting Mucositis in Head and Neck Cancer Patients using Light-weight Convolutional Neural Networks Approach -- MalDualCNN: A Novel Malware Detection Technique Using Binary File Visualization and Dual Convolutional Neural Network -- Enhancing AI capabilities to improve cybersecurity. Exploring the Diversity of Evolved Cognitive Models with Cluster Analysis -- Personalized Learning with Generative AI: Revolutionizing Learning Management Systems. |
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Sommario/riassunto |
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The book presents the proceedings of the 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, |
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during June 6 – 7, 2024. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines. |
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