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020 _a9789811641039
024 7 _a10.1007/978-981-16-4103-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ342
_b2022 EB
245 0 0 _aProceedings of International Conference on Computational Intelligence and Emerging Power System :
_bICCIPS 2021
_cedited by Ramesh C. Bansal, Akka Zemmari, K. G. Sharma, Jyoti Gajrani
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XVII, 372 páginas)
_b198 ilustraciones, 152 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aAlgorithms for Intelligent Systems
_x2524-7573
505 0 _aReading Gauges Using Computer Vision -- Efficient Classification for Age and Gender of Unconstrained Face Images -- Prediction of Road Accidents Using Data Mining Techniques -- Eye Gaze Based Student Readability Analysis -- Enhancement of Life Time of Sensor Nodes in Wireless Sensor Network -- Social Distancing through Image Processing, Video Analysis AND CNN.
520 _aThis book gathers outstanding research papers presented in the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), held on March 9-10, 2021, at Engineering College Ajmer. ICCIPS 2021 is jointly organized by the Department of CSE and Department of EE, Engineering College Ajmer, Rajasthan, India. The topics covered in the book are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, natural language processing, renewable energy, signal processing, optimization methods for power system, smart grid, micro-grid, energy management, power system, monitoring system, load management, and distributed generation.
988 _aSpringer_Robotics_2022
650 7 _2embne
_aInteligencia artificial
_vCongresos y asambleas
_9413115
650 7 _2embne
_9153443
_aRedes de energía eléctrica
_vCongresos y asambleas
776 0 8 _iPrinted edition:
_z9789811641022
776 0 8 _iPrinted edition:
_z9789811641046
776 0 8 _iPrinted edition:
_z9789811641053
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-981-16-4103-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2023
_dz
_eIG
_zSI