1.

Record Nr.

UNINA9910890187703321

Titolo

Deep Sciences for Computing and Communications : Second International Conference, IconDeepCom 2023, Chennai, India, April 20–22, 2023, Proceedings, Part I / / edited by Annie Uthra R., Kottilingam Kottursamy, Gunasekaran Raja, Ali Kashif Bashir, Utku Kose, Revathi Appavoo, Vimaladevi Madhivanan

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024

ISBN

9783031689055

3031689054

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (0 pages)

Collana

Communications in Computer and Information Science, , 1865-0937 ; ; 2176

Disciplina

006.3

Soggetti

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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Sommario/riassunto

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. .