- Neu
E-Book, Englisch, 412 Seiten
Reihe: Springer Nature Proceedings excluding Computer Science
Pandit / Gaur / Kumar Artificial Intelligence and Sustainable Computing
Erscheinungsjahr 2026
ISBN: 978-3-032-23945-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Proceedings of ICSISCET 2025, Volume 2
E-Book, Englisch, 412 Seiten
Reihe: Springer Nature Proceedings excluding Computer Science
ISBN: 978-3-032-23945-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.




