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245 1 0 _aPower Engineering and Intelligent Systems
_h[electronic resource] :
_bProceedings of PEIS 2024, Volume 2 /
_cedited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVI, 535 p. 275 illus., 243 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v1247
505 0 _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.
520 _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.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aElectric power production.
650 0 _aElectric machinery.
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
650 2 4 _aElectrical Power Engineering.
650 2 4 _aElectrical Machines.
650 2 4 _aArtificial Intelligence.
700 1 _aShrivastava, Vivek.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBansal, Jagdish Chand.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPanigrahi, B. K.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819767137
776 0 8 _iPrinted edition:
_z9789819767151
776 0 8 _iPrinted edition:
_z9789819767168
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v1247
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-6714-4
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
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