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Power Engineering and Intelligent Systems : Proceedings of PEIS 2024, Volume 2 / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Shrivastava, Vivek.
- Series:
- Lecture Notes in Electrical Engineering, 1876-1119 ; 1247
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Electric power production.
- Electric machinery.
- Artificial intelligence.
- Computational Intelligence.
- Electrical Power Engineering.
- Electrical Machines.
- Artificial Intelligence.
- Local Subjects:
- Computational Intelligence.
- Electrical Power Engineering.
- Electrical Machines.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (531 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9789819767144
- 9819767148
- OCLC:
- 1477221280
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