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Pandit / Tiwari / Gaur

Artificial Intelligence and Sustainable Computing

Proceedings of ICSISCET 2021

Medium: Buch
ISBN: 978-981-19-1652-6
Verlag: Springer Nature Singapore
Erscheinungstermin: 17.11.2022
Lieferfrist: bis zu 10 Tage

This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits 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 a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.


Produkteigenschaften


  • Artikelnummer: 9789811916526
  • Medium: Buch
  • ISBN: 978-981-19-1652-6
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 17.11.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Algorithms for Intelligent Systems
  • Produktform: Gebunden
  • Gewicht: 1475 g
  • Seiten: 763
  • Format (B x H x T): 160 x 241 x 45 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Demand based Land Suitability Prediction Model for Sustainable Agriculture.- Power Generation Forecasting of Wind Farms using Machine Learning Algorithms.- Music Recommendation System Based on Emotion Detection.- Service Analytics on ITSM Processes using Time Series.- Comparative Analysis of Color-based Segmentation Methods Used for Smartphone Camera Captured Fingerphotos.- Prediction of Heart Disease through KNN, Random Forest and Decision Tree Classifier using K-Fold Cross Validation.- Distance Matrix Generation for Dynamic Vehicle Routing Optimization in Transport Fleets Management.- Enhancing Weighted Support Vector Machine for Noise Classification.- Optimized Hysteresis Region Authenticated Handover for 5G HetNets.- Performance Improvement of CTNR Protocol in Wireless Sensor Network Using Machine Learning.