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020			_a9783030805319
024	7		_a10.1007/978-3-030-80531-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2021 EB
245	1	0	_aAdvances in Artificial Systems for Power Engineering _cedited by Zhengbing Hu, Bo Wang, Sergey Petoukhov, Matthew He.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (VII, 244 páginas) _b126 ilustraciones, 64 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1403
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChatbots as a Tool to Optimize the Educational Process -- Intelligent System of Computer Aided Processes Planning -- Polypolar Coordination by the Multifocal Lemniscates -- Evaluation Method of Distributed Renewable Energy Access to Distribution Network Based on Variable Weight Theory -- Evaluation of Distribution Equipment Utilization Based on Data Driven -- Parametric Oscillations at Delays in the Forces of Elasticity and Damping -- Algebraic Harmony in Genomic DNA-texts and Long-range Coherence in Biological Systems.
520	3		_aThis book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25-27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
700			_aHu, Zhengbing _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681727
700			_aWang, Bo _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681728
700			_aPetoukhov, Sergey _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681729
700			_aHe, Matthew _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681730
776	0	8	_iPrinted edition: _z9783030805302
776	0	8	_iPrinted edition: _z9783030805326
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-80531-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE