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008			210128s2021 gw a o |1|| 0|eng d
020			_a9783030678746
024	7		_a10.1007/978-3-030-67874-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D343 _b2021 EB
245	0	0	_aAdvanced Hybrid Information Processing : _b4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings _nPart II _cedited by Shuai Liu, Liyun Xia
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (XIX, 476 páginas) _b193 ilustraciones, 43 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aLecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering _x1867-8211 _v348
520	3		_aThis two-volume set constitutes the post-conference proceedings of the 4th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2020, held in Binzhou, China, in September 2020. Due to COVID-19 the conference was held virtually. The 89 papers presented were selected from 190 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was "Industrial applications of aspects with big data". The papers are named in topical sections as follows: Industrial application of multi-modal information processing; Industrialized big data processing; Industrial automation and intelligent control; Visual information processing.
988			_aSpringer_Computer_2021
650		7	_2embne _aData mining _vCongresos y asambleas _9162648
700	1		_aLiu, Shuai _eeditor literario _0(orcid)0000-0001-9909-0664 _1https://orcid.org/0000-0001-9909-0664 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aXia, Liyun _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67874-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _eb _zSI