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020 _a9783031038778
024 7 _a10.1007/978-3-031-03877-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTS183
_b2022 EB
245 0 0 _aAdvances in Computer Science for Engineering and Manufacturing
_cedited by Zhengbing Hu, Sergey Petoukhov, Felix Yanovsky, Matthew He
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 388 páginas)
_b177 ilustraciones, 118 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3389
_v463
520 _aThe book's general scope covers the latest advances in the development of artificial intelligence systems and their applications in engineering and manufacturing. The book comprises refereed papers presented at the International Symposium on Engineering and Manufacturing (ISEM2021), held in Kyiv, Ukraine, on December 24-26, 2021. 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 engineering and manufacturing, to increase the effectiveness of the creation and diagnosis of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. In-depth studies of biological and self-organizing systems can provide new approaches to create more and more effective artificial intelligence methods. The topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological. 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. Specialists, students, and other groups of people who want to know how artificial intelligence systems can be used in the future will be the target audience for this book.
988 _aSpringer_Robotics_2022
650 7 _2embne
_aInteligencia artificial
_9413115
650 7 _2embne
_9151819
_aAlgoritmos computacionales
650 7 _2embne
_9150217
_aFabricación integrada por ordenador
700 1 _aHu, Zhengbing
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPetoukhov, Sergey
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYanovsky, Felix
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHe, Matthew
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031038761
776 0 8 _iPrinted edition:
_z9783031038785
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-03877-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2022
_dz
_esc
_zSI