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|a 9789819767144
|9 978-981-97-6714-4
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|a 10.1007/978-981-97-6714-4
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|a Power Engineering and Intelligent Systems
|h [electronic resource] :
|b Proceedings of PEIS 2024, Volume 2 /
|c edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi.
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|a 1st ed. 2024.
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|a Singapore :
|b Springer Nature Singapore :
|b Imprint: Springer,
|c 2024.
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| 300 |
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|a XVI, 535 p. 275 illus., 243 illus. in color.
|b online resource.
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|a text
|b txt
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|b Table of contents navigation
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|b Single logical reading order
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|b Short alternative textual descriptions
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|a text file
|b PDF
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|a Lecture Notes in Electrical Engineering,
|x 1876-1119 ;
|v 1247
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|a 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.
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|a 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.
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|a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
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|a No reading system accessibility options actively disabled
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|a Publisher contact for further accessibility information: accessibilitysupport@springernature.com
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|a Computational intelligence.
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| 650 |
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|a Electric power production.
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| 650 |
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|a Electric machinery.
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|a Artificial intelligence.
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|a Computational Intelligence.
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|a Electrical Power Engineering.
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|a Electrical Machines.
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|a Artificial Intelligence.
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| 700 |
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|a Shrivastava, Vivek.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Bansal, Jagdish Chand.
|e editor.
|0 (orcid)0000-0001-9029-5129
|1 https://orcid.org/0000-0001-9029-5129
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
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|a Panigrahi, B. K.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9789819767137
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| 776 |
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|i Printed edition:
|z 9789819767151
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| 776 |
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|i Printed edition:
|z 9789819767168
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| 830 |
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|a Lecture Notes in Electrical Engineering,
|x 1876-1119 ;
|v 1247
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| 856 |
4 |
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|u https://doi.org/10.1007/978-981-97-6714-4
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| 912 |
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|a ZDB-2-INR
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| 912 |
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|a ZDB-2-SXIT
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| 950 |
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
|