TY  - BOOK
AU  - Shrivastava,Vivek
AU  - Bansal,Jagdish Chand
AU  - Panigrahi,B.K.
ED  - SpringerLink (Online service)
TI  - Power Engineering and Intelligent Systems: Proceedings of PEIS 2024, Volume 2 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9789819767144
AV  - Q342 
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Computational intelligence
KW  - Electric power production
KW  - Electric machinery
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Electrical Power Engineering
KW  - Electrical Machines
KW  - Artificial Intelligence
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-981-97-6714-4
ER  -