LEADER 03761nam 22006735 450 001 9910917197403321 005 20250627154727.0 010 $a9789819767144 010 $a9819767148 024 7 $a10.1007/978-981-97-6714-4 035 $a(MiAaPQ)EBC31815233 035 $a(Au-PeEL)EBL31815233 035 $a(CKB)36822892100041 035 $a(OCoLC)1477221280 035 $a(DE-He213)978-981-97-6714-4 035 $a(EXLCZ)9936822892100041 100 $a20241204d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPower Engineering and Intelligent Systems $eProceedings of PEIS 2024, Volume 2 /$fedited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (531 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1247 311 08$a9789819767137 311 08$a981976713X 327 $aChapter 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. 330 $aThis book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2024), held during March 16?17, 2024, at National Institute of Technology Srinagar, Uttarakhand, India. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1247 606 $aComputational intelligence 606 $aElectric power production 606 $aElectric machinery 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aElectrical Power Engineering 606 $aElectrical Machines 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aElectric power production. 615 0$aElectric machinery. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aElectrical Power Engineering. 615 24$aElectrical Machines. 615 24$aArtificial Intelligence. 676 $a621.31028563 700 $aShrivastava$b Vivek$01359565 701 $aBansal$b Jagdish Chand$01338605 701 $aPanigrahi$b B. K$01460288 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910917197403321 996 $aPower Engineering and Intelligent Systems$93660154 997 $aUNINA