Computational Intelligence, Cyber Security and Computational Models. Emerging Trends in Computational Models, Intelligence and Security Systems: 6th International Conference, ICC3 2023, Coimbatore, India, December 14-16, 2023, Revised Selected Papers

by Shina Sheen (Editor), Latha R. (Editor), Sridevi U. K. (Editor), Thanalakshmi P. (Editor), Thilaga M. (Editor)

Overview

This book constitutes the proceedings of the 6th International Conference, ICC3 2023, held in Coimbatore, India, during December 14–16, 2023.

The 10 full papers included in this book were carefully reviewed and selected from 86 submissions. They were organized in topical sections as follows: computational intelligence; cyber security; and computational models.

Product Details

ISBN-13:	9783031882975
Publisher:	Springer-Verlag New York, LLC
Publication date:	05/27/2025
Series:	Communications in Computer and Information Science , #2423
Sold by:	Barnes & Noble
Format:	eBook
File size:	29 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- Computational Intelligence.

.- Deep Learning in Stock Market Forecasting: A Comparative Study.

.- Enhancing Resolution: Harnessing Generative Adversarial Networks for Domain-Specific Super- Resolution.

.- Audio Tagging - Deep Learning Approach.

.- A Design Pattern based Forecasting Model for Predicting Time Series data in Kaggle Ecosystem.

.- Cyber Security. 

.- An Anonymous and Unlinkable Security Protocol for the Communication in Cloud-enabled Smart Agriculture Environment.

.- Mitigating Malware Threats in Wireless Sensor Networks: A Fractional Approach with Infected Mutant and Traced Nodes.

.- Exploring Post-Quantum Hash-Based Signature Schemes for IoT motes.

.- Computational Models.

.- Describing Regular closure of linear languages by semi-conditional insertion-deletion systems.

.- Predicting the Toxicity of Biomolecules using Graph Kernel.

.- A New Modıfıed Juchez Dıstrıbutıon: Induced Juchez Dıstrıbutıon with its Propertıes and Application in Intelligent Irrigation System Data.