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020 _a9783319973043
_9978-3-319-97304-3
024 7 _a10.1007/978-3-319-97304-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aPRICAI 2018: Trends in Artificial Intelligence
_h[electronic resource] :
_b15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part I /
_cedited by Xin Geng, Byeong-Ho Kang.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXIX, 1086 p. 348 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11012
520 _aThis two-volume set, LNAI 11012 and 11013, constitutes the thoroughly refereed proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held in Nanjing, China, in August 2018. The 82 full papers and 58 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
650 0 _aArtificial intelligence.
_93407
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer networks .
_931572
650 0 _aComputer vision.
_991997
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Communication Networks.
_991998
650 2 4 _aComputer Vision.
_991999
700 1 _aGeng, Xin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_992000
700 1 _aKang, Byeong-Ho.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_992001
710 2 _aSpringerLink (Online service)
_992002
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319973036
776 0 8 _iPrinted edition:
_z9783319973050
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11012
_992003
856 4 0 _uhttps://doi.org/10.1007/978-3-319-97304-3
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