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020 _a9783030955021
024 7 _a10.1007/978-3-030-95502-1
_2doi
040 _aES-MaUEC
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050 4 _aQA75.5
_b2022 EB
245 1 0 _aAdvanced Computing :
_b11th International Conference, IACC 2021, Msida, Malta, December 18-19, 2021, Revised Selected Papers
_cedited by Deepak Garg, Sarangapani Jagannathan, Ankur Gupta, Lalit Garg, Suneet Gupta
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publising
_c2022
300 _a1 recurso en línea (XXIX, 689 páginas)
_b393 ilustraciones, 285 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aCommunications in Computer and Information Science
_x1865-0937
_v1528
505 0 _aApplication of Artificial Intelligence and Machine Learning in Healthcare -- Application of AI for emotion and behaviour prediction -- Problem solving using Reinforcement learning and Analysis of data -- Advance uses of RNN and Regression Techniques -- Special intervention of AI.
520 _aThis volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021. The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
988 _aSpringer_Computer_2022
650 7 _2embne
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_aInformática
_vCongresos y asambleas
700 1 _aGarg, Deepak
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_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJagannathan, Sarangapani
_eeditor literario
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700 1 _aGupta, Ankur
_eeditor literario
_4edt
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700 1 _aGarg, Lalit
_eeditor literario
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700 1 _aGupta, Suneet
_eeditor literario
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030955014
776 0 8 _iPrinted edition:
_z9783030955038
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95502-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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998 _b03/2022
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