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Record Nr. |
UNINA9910992777703321 |
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Titolo |
Computational Intelligence and Data Analytics : Proceedings of ICCIDA 2024 / / edited by Alejandro C. Frery, Rajkumar Buyya, Ram Mohan Rao Kovvur, T. Hitendra Sarma |
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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 (XVIII, 438 p. 176 illus., 149 illus. in color.) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 236 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Cooperating objects (Computer systems) |
Internet of things |
Telecommunication |
Computational Intelligence |
Artificial Intelligence |
Cyber-Physical Systems |
Internet of Things |
Communications Engineering, Networks |
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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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On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing -- Benchmarking Covariance Matrix Evolution Strategies on Autonomous Parking Navigation -- Easy accuracy improvement of fuzzy modelling using available datasets -- An Efficient Approach to Forest Fire Segmentation in Satellite Images using Superpixels based Fuzzy Clustering and CIELch Color Model -- An Improved XGBoost Classifier for MicroExpression Recognition using Hybrid Optimization Algorithm -- Detecting Equity Bubbles and Financial Crashes with Machine Learning. |
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Sommario/riassunto |
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This book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data |
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Analytics (ICCIDA 2024), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India, in June 2024. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This book covers cutting-edge research in two prominent areas—computational intelligence and data analytics and allied research areas. |
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