LEADER 03476nam 22006735 450 001 9910484608303321 005 20260327133407.0 010 $a981-334-069-X 024 7 $a10.1007/978-981-33-4069-5 035 $a(CKB)4100000011797559 035 $a(DE-He213)978-981-33-4069-5 035 $a(MiAaPQ)EBC6520853 035 $a(Au-PeEL)EBL6520853 035 $a(OCoLC)1245674021 035 $a(PPN)254720188 035 $a(EXLCZ)994100000011797559 100 $a20210315d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Science and Technology $e7th ICCST 2020, Pattaya, Thailand, 29?30 August, 2020 /$fedited by Rayner Alfred, Hiroyuki Iida, Haviluddin Haviluddin, Patricia Anthony 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (XIII, 585 p. 221 illus., 146 illus. in color.) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v724 311 08$a981-334-068-1 327 $aBuilding a Knowledge Graph of Vietnam Tourism from Text -- Technology Adoption Models: Users? Online Social Media Behavior Towards Visual Information -- A Pedagogical Framework with Integration of TPACK for Mobile Interactive System in Teaching Mathematics -- Towards Palm Bunch Ripeness Classification using Colour and Canny Edge Detection -- Attention Models for Sentiment Analysis using Objectivity and Subjectivity Word Vectors -- A Question-Answering System that Can Count -- Contactless Patient Authentication for Registration Using Face Recognition Technology -- Drawing and Recognising Simple Shapes with Real-Time Feedback Using Pattern Recognition -- Information Technology Students' Preferences on Blended Learning -- Improved Facial Recognition Algorithms based on Dragonfly and Grasshopper Optimization. 330 $aThis book gathers the proceedings of the Seventh International Conference on Computational Science and Technology 2020 (ICCST 2020), held in Pattaya, Thailand, on 29?30 August 2020. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v724 606 $aArtificial intelligence 606 $aTelecommunication 606 $aBig data 606 $aArtificial Intelligence 606 $aCommunications Engineering, Networks 606 $aBig Data 606 $aIntel·ligència artificial$2thub 606 $aTelecomunicació$2thub 606 $aDades massives$2thub 608 $aLlibres electrònics$2thub 615 0$aArtificial intelligence. 615 0$aTelecommunication. 615 0$aBig data. 615 14$aArtificial Intelligence. 615 24$aCommunications Engineering, Networks. 615 24$aBig Data. 615 7$aIntel·ligència artificial 615 7$aTelecomunicació 615 7$aDades massives 676 $a006.3 702 $aAlfred$b Rayner 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484608303321 996 $aComputational science and technology$91897424 997 $aUNINA