Full Description
This book presents high-quality research papers presented at the 7th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2025) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during November 1-2, 2025. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.
Contents
Histopathological Image Classification on PathMNIST using Pretrained CNN Models.- AI-Driven Demand Response Optimization in Smart Grids using Self-Adaptive Neuno-Evolutionary Algorithms.- Analyzing Gender Bias in Resume Screening with Synthetic Data and Pretrained NLP Models.- Development and Implementation of an Advanced Li-Fi-based Data Transmission Framework for Enhanced Communication Systems.- Interactive Job and Internship Platform: Bridging Academia and Industry through AI-Driven Opportunity Matching.- Industry 4.0 Oriented Machine Health Monitoring using PLC Logic Simulation.- Optimizing Stock Portfolios by Minimizing Downside Volatility using a Random Forest Classifier and Reinforcement Learning.- A Comparative Study of Graph Neural Networks for Robust Network Intrusion Detection Systems.- CrossSafe: An Active Safety Framework for Automated Collision Intervention at Intersections.- Effect of Mutation-segment-length on Transposition Key-string Generated by GA.- Efficiency Optimization of Light Electric Vehicles via a Bridgeless Converter-Based Battery Charging System.- Scenario Driven Insider Threat Detection using Dual Modelling Architecture.- Proto-UNeXt: Prototype-Guided UNeXt for improved Tumour Segmentation.- IoT-Enabled Machine Learning Approach for Predicting Battery Behavior in Electric Vehicles under Varying Road Conditions.- MOCAA* Enhanced: Multi-Objective Context-Aware A* Pathfinding with Integration of Real-World Navigation and Hybrid Admissible Heuristics.
