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001482591 001__ 1482591
001482591 003__ OCoLC
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001482591 019__ $$a1405412989
001482591 020__ $$a9783031467493$$q(electronic bk.)
001482591 020__ $$a3031467493$$q(electronic bk.)
001482591 020__ $$z9783031467486
001482591 020__ $$z3031467485
001482591 0247_ $$a10.1007/978-3-031-46749-3$$2doi
001482591 035__ $$aSP(OCoLC)1405847344
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001482591 049__ $$aISEA
001482591 050_4 $$aQ334
001482591 08204 $$a006.3$$223/eng/20231024
001482591 1112_ $$aInternational Conference on Intelligence of Things$$n(2nd :$$d2023 :$$cHo Chi Minh City, Vietnam).
001482591 24510 $$aIntelligence of things: technologies and applications :$$bthe Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, proceedings.$$nVolume 2 /$$cNhu-Ngoc Dao, Tran Ngoc Thinh, Ngoc Thanh Nguyen, editors.
001482591 24630 $$aICIT 2023
001482591 264_1 $$aCham :$$bSpringer,$$c[2023]
001482591 264_4 $$c©2023
001482591 300__ $$a1 online resource (xiv, 356 pages) :$$billustrations (chiefly color).
001482591 336__ $$atext$$btxt$$2rdacontent
001482591 337__ $$acomputer$$bc$$2rdamedia
001482591 338__ $$aonline resource$$bcr$$2rdacarrier
001482591 4901_ $$aLecture notes on data engineering and communications technologies,$$x2367-4520 ;$$v188
001482591 500__ $$aInternational conference proceedings.
001482591 500__ $$aIncludes author index.
001482591 5050_ $$aInvestigating Ensemble Learning Methods for Predicting Water Quality Index -- Age-Invariant Face Recognition Based on Self-Supervised Learning -- Detection of Kidney Stone Based on Super Resolution Techniques and YOLOv7 Under Limited Training Samples -- Hardware-Based Lane Detection System Architecture for Autonomous Vehicles -- Video Classification Based on the Behaviors of Children in Pre-School Through Surveillance Cameras -- Land Subsidence Susceptibility Mapping Using Machine Learning in the Google Earth Engine Platform -- Building an AI-Powered IoT App for Fall Detection Using Yolov8 Approach -- Seam Puckering Level Classification Using AIoT Technology -- Classification of Pneumonia on Chest X-Ray Image Using Transfer Learning -- Bayesian Approach for Static Object Detection and Localization in Unmanned Ground Vehicles -- Diabetic Retinopathy Diagnosis Leveraging Densely Connected Convolutional Networks and Explanation Technique -- Deep Learning Approach for Inundation Area Detection Using Sentinel Data -- Classification of Raisin Grains Based on Ensemble Learning Techniques in Machine Learning -- An Effective Deep Learning Model for Detecting Plant Diseases Using a Natural Dataset for the Agricultural IoT System -- Real-Time Air Quality Monitoring System Using Fog Computing Technology -- An Intelligent Computing Method for Scheduling Projects with Normally Distributed Activity Times.
001482591 506__ $$aAccess limited to authorized users.
001482591 520__ $$aThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
001482591 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 24, 2023).
001482591 650_6 $$aIntelligence artificielle$$vCongrès.
001482591 650_6 $$aInternet des objets$$vCongrès.
001482591 650_0 $$aArtificial intelligence$$vCongresses.$$xMedical applications$$0(DLC)sh 88003000
001482591 650_0 $$aInternet of things$$vCongresses.$$0(DLC)sh2013000266
001482591 655_7 $$aproceedings (reports)$$2aat
001482591 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001482591 655_7 $$aConference papers and proceedings.$$2lcgft
001482591 655_7 $$aActes de congrès.$$2rvmgf
001482591 655_0 $$aElectronic books.
001482591 7001_ $$aDao, Nhu-Ngoc,$$eeditor.
001482591 7001_ $$aThinh, Tran Ngoc,$$eeditor.
001482591 7001_ $$aNguyen, Ngoc Thanh$$c(Computer scientist),$$eeditor.$$c(Computer scientist)$$0(Uk)007172842
001482591 77608 $$iPrint version: $$z3031467485$$z9783031467486$$w(OCoLC)1397314264
001482591 830_0 $$aLecture notes on data engineering and communications technologies ;$$v188.$$x2367-4520
001482591 852__ $$bebk
001482591 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46749-3$$zOnline Access$$91397441.1
001482591 909CO $$ooai:library.usi.edu:1482591$$pGLOBAL_SET
001482591 980__ $$aBIB
001482591 980__ $$aEBOOK
001482591 982__ $$aEbook
001482591 983__ $$aOnline
001482591 994__ $$a92$$bISE