Seifedine Kadry

Yu-Chen Hu

Ninni Singh

Ali Kashif Bashir

This book includes peer-reviewed articles from the 1st International Conference on Intelligent Healthcare and Computational Neural Modelling (ICIHCNN—2022), held on November 30, 2022, at Dehradun, India. It covers the latest research trends and developments in areas of Data Science, Artificial Intelligence, Neural Networks, Cognitive Neuroscience and Machine Learning Applications, Cyber-Physical Systems, and Cybernetics.

Select Articles from ICIHCNN 2022, 30 November, Dehradun, India

Proceedings of the 1st International Conference on Intelligent Healthcare and Computational Neural Modelling

Utku Kose

Annie Uthra R.

Kottilingam Kottursamy

Gunasekaran Raja

Revathi Appavoo

Vimaladevi Madhivanan

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.

Second International Conference, IconDeepCom 2023, Chennai, India, April 20–22, 2023, Proceedings, Part II

Deep Sciences for Computing and Communications

Celestine Iwendi

 Thippa Reddy Gadekallu

Big data analytics for smart healthcare applications

Ali Kashif Bashir

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