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Record Nr. |
UNINA9911003588503321 |
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Titolo |
Soft Computing and Signal Processing : Proceedings of 7th ICSCSP 2024, Volume 2 / / edited by Hushairi Zen, Naga M. Dasari, Y. Madhavee Latha, S. Srinivasa Rao |
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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 (XXII, 717 p. 353 illus., 285 illus. in color.) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1200 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Cooperating objects (Computer systems) |
Signal processing |
Internet of things |
Computational Intelligence |
Artificial Intelligence |
Cyber-Physical Systems |
Signal, Speech and Image Processing |
Internet of Things |
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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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5G MIMO Antenna Design for Bandwidth Enhancement using Split Ring Resonator -- Real-Time Violence Detection and Alert System using MobileNetV2 and Telegram Bot -- An analysis on the capacity of the convolutional neural network and the current neural network to identify vocal problems -- Recent Advances in Diabetic Monitoring Devices: Present to Future Directions -- Navigating the Digital Realm: E-Visual Online Examination for the Visually Challenged -- The evaluation of data aggregation and compression in WSN routing networks using the best clustering methods -- Improved AODV Routing Protocol Development and Analysis for Enhanced Network Performance In MANETs Based On Machine Learning Model. |
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Sommario/riassunto |
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This book presents selected research papers on current developments |
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in the fields of soft computing and signal processing from the Seventh International Conference on Soft Computing and Signal Processing (ICSCSP 2024), organized by Malla Reddy College of Engineering & Technology, Hyderabad, India. The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues. |
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