Conférences  >  Informatique  >  Soft computing, algorithmes évolutionnaires, domaine des métaheuristiques, logique floue  >  Inde

Dhirajlal Gandhi College of Technology

In recent years, soft computing plays a pivotal role in developing optimal and sustainable solutions. This evolving field integrates various methodologies and techniques, including artificial neural networks, fuzzy logic, fuzzy neural networks, expert systems, and genetic algorithms. Further research in the soft computing domain is crucial as it enables the development of advanced solutions that effectively navigate uncertainties, imprecisions, and complexities, contributing to enhanced problem-solving in diverse fields such as security, optimization, and decision support and construct intelligent, automated, and secure systems. This 4th International Conference on Soft Computing for Security Applications [ICSCSA-2024] will serve as a comprehensive platform to discuss about different facets of soft computing across diverse domains. The conference invites submissions presenting research findings related to the application of soft computing techniques for enhancing security, optimization, and decision support. The 4 th edition of ICSCSA-2024 seeks to promote the use of Soft Computing [SC] techniques such as fuzzy logic, neural networks, support vector machines, evolutionary computation, machine learning, and probabilistic reasoning to address various real-time challenges.

Tél.: [9597324073];     Email.: icscs.conf@gmail.com

Track-1 Intrusion Detection Systems using Soft Computing Techniques Threat Analysis and Prediction with Fuzzy Logic Application of Neural Networks in Biometric Systems Evolutionary Computation for Cybersecurity Analytics Secure Communication Protocols Fuzzy Neural Networks for Anomaly Detection Soft Computing Approaches for Malware Analysis Adaptive Security Measures using Machine Learning Track-2 Soft Computing Algorithms for Optimization Problems Intelligent Decision-Making Systems Financial Risk Management using Soft Computing Logistics Optimization with Genetic Algorithms Fuzzy Logic Applications in Supply Chain Management Adaptive Resource Allocation through Neural Networks Machine Learning for Decision Support Soft Computing in Real-time Decision Support Systems