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020 _a9783319673493
024 7 _a10.1007/978-3-319-67349-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ334
_b2018 EB
245 0 0 _aAdvances in Artificial Systems for Medicine and Education
_cedited by Zhengbing Hu, Sergey Petoukhov, Matthew He.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XIII, 344 páginas)
_b128 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5357
_v658
490 0 _aEngineering (Springer-11647)
520 3 _aThis book presents an overview of the latest artificial intelligence systems and methods, which have a broad spectrum of effective and sometimes unexpected applications in medical, educational and other fields of sciences and technology. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. The book focuses on the intensive development of bio-mathematical studies on living organism patents, which ensure the noise immunity of genetic information, its quasi-holographic features, and its connection with the Boolean algebra of logic used in technical artificial intelligence systems. In other words, the study of genetic systems and creation of methods of artificial intelligence go hand in hand, mutually enriching enrich each other.   These proceedings comprise refereed papers presented at the 1st International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2017), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia on 21-23 August 2017. The topics discussed include advances in thematic mathematics and bio-mathematics; advances in thematica medical approaches; and advances in thematic 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 and bioinformatics systems as well as their growing applications  .
988 _aEBSPRINGER_2018
650 7 _2embne
_aInteligencia artificial
_vCongresos y asambleas
_9413115
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
_vCongresos y asambleas
700 1 _aHu, Zhengbing.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/no2009129726
_1http://viaf.org/viaf/260700810/
700 1 _aPetoukhov, Sergey.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/116560198/
700 1 _aHe, Matthew.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/no2005072833
_1http://viaf.org/viaf/68667005/
776 0 8 _iEdición impresa:
_z9783319673486
776 0 8 _iEdición impresa:
_z9783319673509
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67349-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2020
_dz
_ek
_zSI