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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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1200Publisher: Singapore : Springer Nature Singapore, 2025Publisher: Singapore : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XXII, 717 p. 353 illus., 285 illus. in color.)ISBN:
  • 9789819799268
Subject(s): Additional physical formats: 9789819799251 | 9789819799275 | Erscheint auch als: 9789819799251 Druck-Ausgabe | Erscheint auch als: 9789819799275 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-981-97-9926-8Online resources: Summary: 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.Summary: This book presents selected research papers on current developments 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.PPN: PPN: 1926117042Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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