Power Engineering and Intelligent Systems : Proceedings of PEIS 2024, Volume 2 / / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi
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| Autore: |
Shrivastava Vivek
|
| Titolo: |
Power Engineering and Intelligent Systems : Proceedings of PEIS 2024, Volume 2 / / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (531 pages) |
| Disciplina: | 621.31028563 |
| Soggetto topico: | Computational intelligence |
| Electric power production | |
| Electric machinery | |
| Artificial intelligence | |
| Computational Intelligence | |
| Electrical Power Engineering | |
| Electrical Machines | |
| Artificial Intelligence | |
| Altri autori: |
BansalJagdish Chand
PanigrahiB. K
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Power Engineering and Intelligent Systems |
| ISBN: | 9789819767144 |
| 9819767148 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910917197403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 1247