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020 _a9783319673493
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024 7 _a10.1007/978-3-319-67349-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Artificial Systems for Medicine and Education
_h[electronic resource] /
_cedited by Zhengbing Hu, Sergey Petoukhov, Matthew He.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIII, 344 p. 128 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v658
520 _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  .
650 0 _aComputational intelligence.
_97716
650 0 _aBiomedical engineering.
_93292
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aHu, Zhengbing.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_952129
700 1 _aPetoukhov, Sergey.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_952130
700 1 _aHe, Matthew.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_952131
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319673486
776 0 8 _iPrinted edition:
_z9783319673509
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v658
_952133
856 4 0 _uhttps://doi.org/10.1007/978-3-319-67349-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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999 _c78896
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