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

Häftad, Engelska, 2025

Av Shina Sheen, Latha R., Sridevi U. K., Thanalakshmi P., Thilaga M., Latha R

1 029 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

line-height: normal;">This book constitutes the proceedings of the 6th International Conference, ICC3 2023, held in Coimbatore, India, during December 14–16, 2023.

Produktinformation

Utgivningsdatum2025-04-26
Mått155 x 235 x 11 mm
Vikt300 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor153
FörlagSpringer International Publishing AG
ISBN9783031882968

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it
Nätverk och kommunikation inom Data och it
IT-säkerhet inom Data och it
Programvaruutveckling inom Data och it

.- 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.