| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Power engineering and intelligent systems/ edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi. |
| Reminder of title: |
proceedings of PEIS 2024. |
| remainder title: |
PEIS 2024 |
| other author: |
Shrivastava, Vivek. |
| corporate name: |
International Conference on Power Engineering and Intelligent Systems |
| Published: |
Singapore :Springer Nature Singapore : : 2024., |
| Description: |
xvi, 535 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Electrical engineering - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-981-97-6714-4 |
| ISBN: |
9789819767144 |