Deep sciences for computing and communications Part 1
This two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and s...
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Weitere Verfasser: | , , , , , , |
Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Cham
Springer
2024
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Schriftenreihe: | Communications in computer and information science
2176 |
Schlagworte: |
Artificial intelligence
> Bildverarbeitung
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Computer Science
> COMPUTERS / Data Processing / Optical Data Processing
> COMPUTERS / Hardware / Network Hardware
> Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
> EDU029090
> EDUCATION / Computers & Technology
> Educational equipment & technology, computer-aided learning (CAL)
> Image processing
> Information technology: general issues
> Künstliche Intelligenz
> Lehrmittel, Lerntechnologien, E-Learning
> Network hardware
> Netzwerk-Hardware
> Social research & statistics
> Konferenzschrift
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Online Zugang: | Cover |
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Zusammenfassung: | This two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models |
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Beschreibung: | Literaturangaben |
Beschreibung: | xviii, 518 Seiten Illustrationen, Diagramme |
ISBN: | 9783031689048 978-3-031-68904-8 |