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Record Nr. |
UNINA9910896528703321 |
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Titolo |
Deep Sciences for Computing and Communications : Second International Conference, IconDeepCom 2023, Chennai, India, April 20–22, 2023, Proceedings, Part II / / edited by Annie Uthra R., Kottilingam Kottursamy, Gunasekaran Raja, Ali Kashif Bashir, Utku Kose, Revathi Appavoo, Vimaladevi Madhivanan |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (527 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2177 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Education - Data processing |
Social sciences - Data processing |
Image processing - Digital techniques |
Computer vision |
Computer networks |
Artificial Intelligence |
Computers and Education |
Computer Application in Social and Behavioral Sciences |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Computer Communication 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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Sommario/riassunto |
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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 |
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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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