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Power engineering and intelligent systems = proceedings of PEIS 2024.. Volume 2 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Power engineering and intelligent systems/ edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi.
其他題名:	proceedings of PEIS 2024.
其他題名:	PEIS 2024
其他作者:	Shrivastava, Vivek.
團體作者:	International Conference on Power Engineering and Intelligent Systems
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xvi, 535 p. :ill., digital ;24 cm.
內容註:	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
標題:	Electrical engineering - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-97-6714-4
ISBN:	9789819767144

Power engineering and intelligent systems = proceedings of PEIS 2024.. Volume 2 /
Power engineering and intelligent systemsproceedings of PEIS 2024.Volume 2 /[electronic resource] :PEIS 2024edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi. - Singapore :Springer Nature Singapore :2024. - xvi, 535 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 12471876-1119 ;. - Lecture notes in electrical engineering ;v. 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.

ISBN: 9789819767144

Standard No.: 10.1007/978-981-97-6714-4doiSubjects--Topical Terms:

1086140
Electrical engineering
--Congresses.

LC Class. No.: TK5 / .I58 2024

Dewey Class. No.: 621.3

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