04042nam a22005895i 4500 978-981-97-6714-4 DE-He213 20251030114604.0 cr nn 008mamaa 241204s2024 si | s |||| 0|eng d 9789819767144 978-981-97-6714-4 10.1007/978-981-97-6714-4 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Power Engineering and Intelligent Systems [electronic resource] : Proceedings of PEIS 2024, Volume 2 / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVI, 535 p. 275 illus., 243 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 1247 Chapter 1: Study of the Optimal Sizing of Battery Energy Storage Systems for Microgrid Applications -- Chapter 2: Integrated State of Charge and State of Health Method for Operating Range Prediction in Electric Vehicles -- Chapter 3: Crime Prediction Using Ensemble Machine Learning Approach -- Chapter 4: Gated Recurrent Unit with Attention mechanism for IC50 Prediction model using Amyotrophic Lateral Sclerosis Related Proteins -- Chapter 5: Exploring Echo State Network for Detection of Gait Freezing in Parkinson's Patients Optimized through Modified Metaheuristics -- Chapter 6: Computer Vision-Based Self-Inflicted Violence Detection in High-Rise Environments using Deep Learning -- Chapter 7: Two Sliding Mode Control Strategies for Maglev Systems with Help of Kalman Filter -- Chapter 8: A Deep Learning Framework on Embedded ADAS Platform for Lane and Road Detection -- Chapter 9: Innovative Convolutional Neural Network Approach to Enhance Real-Time Face Recognition Accuracy -- Chapter 10: Tomato Plant Leaf Disease Prediction and Suggestion Using Deep Learning. etc. This book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2024), held during March 16–17, 2024, at National Institute of Technology Srinagar, Uttarakhand, India. Computational intelligence. 64052 Electric power production. 65675 Electric machinery. 67807 Artificial intelligence. 58441 Computational Intelligence. 64052 Electrical Power Engineering. 65867 Electrical Machines. 67810 Artificial Intelligence. 58441 Shrivastava, Vivek. editor. edt http://id.loc.gov/vocabulary/relators/edt 68333 Bansal, Jagdish Chand. editor. (orcid)0000-0001-9029-5129 https://orcid.org/0000-0001-9029-5129 edt http://id.loc.gov/vocabulary/relators/edt 68334 Panigrahi, B. K. editor. edt http://id.loc.gov/vocabulary/relators/edt 68335 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819767137 Printed edition: 9789819767151 Printed edition: 9789819767168 Lecture Notes in Electrical Engineering, 1876-1119 ; 1247 https://doi.org/10.1007/978-981-97-6714-4 ZDB-2-INR ZDB-2-SXIT 65498 65498