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_a10.1007/978-981-16-4103-9 _2doi |
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_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 |
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| 300 |
_a1 recurso en línea (XVII, 372 páginas) _b198 ilustraciones, 152 ilustraciones a color |
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_aarchivo de texto _bPDF |
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_aAlgorithms for Intelligent Systems _x2524-7573 |
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| 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 |
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| 650 | 7 |
_2embne _9153443 _aRedes de energía eléctrica _vCongresos y asambleas |
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_iPrinted edition: _z9789811641022 |
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_iPrinted edition: _z9789811641046 |
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_iPrinted edition: _z9789811641053 |
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_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) |
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