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Deep Sciences for Computing and Communications: Second International Conference, IconDeepCom 2023, Chennai, India, April 2022, 2023, Proceedings, Part I 2024 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 518 pages, height x width: 235x155 mm, 202 Illustrations, color; 65 Illustrations, black and white; XX, 518 p. 267 illus., 202 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2176
  • Izdošanas datums: 29-Sep-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031689046
  • ISBN-13: 9783031689048
  • Mīkstie vāki
  • Cena: 82,61 €*
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  • Standarta cena: 97,19 €
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  • Formāts: Paperback / softback, 518 pages, height x width: 235x155 mm, 202 Illustrations, color; 65 Illustrations, black and white; XX, 518 p. 267 illus., 202 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2176
  • Izdošanas datums: 29-Sep-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031689046
  • ISBN-13: 9783031689048
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.