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Pandit / Gaur / Kumar

Artificial Intelligence and Sustainable Computing

Proceedings of ICSISCET 2025, Volume 2

Medium: Buch
ISBN: 978-3-032-23944-0
Verlag: Springer
Erscheinungstermin: 28.05.2026
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783032239440
  • Medium: Buch
  • ISBN: 978-3-032-23944-0
  • Verlag: Springer
  • Erscheinungstermin: 28.05.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Networks and Systems
  • Produktform: Kartoniert
  • Seiten: 412
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.