Power Engineering and Intelligent Systems Proceedings of PEIS 2024, Volume 2 /
Power Engineering and Intelligent Systems Proceedings of PEIS 2024, Volume 2 / [electronic resource] :
edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi.
- 1st ed. 2024.
- XVI, 535 p. 275 illus., 243 illus. in color. online resource.
- Lecture Notes in Electrical Engineering, 1247 1876-1119 ; .
- Lecture Notes in Electrical Engineering, 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.
9789819767144
Computational intelligence.
Electric power production.
Electric machinery.
Artificial intelligence.
Computational Intelligence.
Electrical Power Engineering.
Electrical Machines.
Artificial Intelligence.
Q342
006.3
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.
9789819767144
Computational intelligence.
Electric power production.
Electric machinery.
Artificial intelligence.
Computational Intelligence.
Electrical Power Engineering.
Electrical Machines.
Artificial Intelligence.
Q342
006.3
