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001 978-3-319-60663-7
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020 _a9783319606637
_9978-3-319-60663-7
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aRecent Advances in Information and Communication Technology 2017
_h[electronic resource] :
_bProceedings of the 13th International Conference on Computing and Information Technology (IC2IT) /
_cedited by Phayung Meesad, Sunantha Sodsee, Herwig Unger.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIV, 360 p. 160 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,
_x2194-5357 ;
_v566
500 _aAcceso multiusuario
505 0 _aApplying Stochastic Evolutionary Algorithm for Correlation Control in Monte Carlo Simulation -- A Hybrid of Fractal Code Descriptor and Harmonic Pattern Generator for Improving Speech Recognition of Different Sampling Rates -- Software Size Estimation in Design Phase Based on MLP Neural Network -- Knee Implant Orientation Estimation for X-Ray Images Using Multiscale Dual Filter and Linear Regression Model -- Pseudo-Ranging Based on Round-Trip Time of Bluetooth Low Energy Beacons -- Android IR - Full-text Search for Android -- Business Popularity Analysis from Twitter.
520 _aThis book includes selected contributions related to big data and data networking, presented at the 13th International Conference on Computing and Information Technology (IC2IT), which was held at the Arnoma Grand Hotel Bangkok, Thailand, July 6-7, 2017. The aim of the conference was to present emerging algorithms, methods and technologies with a high degree of originality, novelty and innovation addressing the conference theme `Mastering Data and Networking'. Section 1 and 2 discuss various aspects of data mining and corresponding applications. Section 3 focuses on speed and overhead networking optimisation problems, as well as energy problems of autonomous systems, which are becoming increasingly important. The key to addressing these problems is properly determining critical parameters. Section 4 sheds light on natural language processing, including extraction of trends and popularity and recognition of emotions as well as classic topics such as detection and classification.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
700 1 _aMeesad, Phayung.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSodsee, Sunantha.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aUnger, Herwig.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319606620
776 0 8 _iPrinted edition:
_z9783319606644
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v566
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-60663-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
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