Buch, Englisch, 153 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g
Computational Intelligence, Cyber Security and Computational Models. Emerging Trends in Computational Models, Intelligence and Security Systems
Erscheinungsjahr 2025
ISBN: 978-3-031-88296-8
Verlag: Springer Nature Switzerland
6th International Conference, ICC3 2023, Coimbatore, India, December 14-16, 2023, Revised Selected Papers
Buch, Englisch, 153 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-88296-8
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
.- 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 Modified Juchez Distribution: Induced Juchez Distribution with its Properties and Application in Intelligent Irrigation System Data.