UID:
almahu_9949407010802882
Format:
XXI, 763 p. 423 illus., 277 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9789811916533
Series Statement:
Algorithms for Intelligent Systems,
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811916526
Additional Edition:
Printed edition: ISBN 9789811916540
Additional Edition:
Printed edition: ISBN 9789811916557
Language:
English
DOI:
10.1007/978-981-19-1653-3
URL:
https://doi.org/10.1007/978-981-19-1653-3
URL:
Volltext
(URL des Erstveröffentlichers)
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