LEADER 01477oam 2200493zu 450 001 9910829856703321 005 20210807004917.0 010 $a1-119-19840-2 035 $a(CKB)3710000000492880 035 $a(SSID)ssj0001579535 035 $a(PQKBManifestationID)16255581 035 $a(PQKBTitleCode)TC0001579535 035 $a(PQKBWorkID)14860916 035 $a(PQKB)11767388 035 $a(EXLCZ)993710000000492880 100 $a20160829d2009 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aBusiness process mapping workbook : improving customer satisfaction 210 31$a[Place of publication not identified]$cWiley$d2009 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-470-44628-5 606 $aBusiness planning 606 $aTotal quality management 606 $aFlow charts 606 $aManagement Theory$2HILCC 606 $aManagement$2HILCC 606 $aBusiness & Economics$2HILCC 615 0$aBusiness planning 615 0$aTotal quality management 615 0$aFlow charts 615 7$aManagement Theory 615 7$aManagement 615 7$aBusiness & Economics 676 $a658.401 700 $aJacka$b J. Mike$01605046 702 $aKeller$b Paulette J 801 0$bPQKB 906 $aBOOK 912 $a9910829856703321 996 $aBusiness process mapping workbook : improving customer satisfaction$94033058 997 $aUNINA LEADER 04135nam 22006495 450 001 9910881100903321 005 20240916211806.0 010 $a9783031600272$b(electronic bk.) 010 $z9783031600265 024 7 $a10.1007/978-3-031-60027-2 035 $a(MiAaPQ)EBC31608985 035 $a(Au-PeEL)EBL31608985 035 $a(CKB)34118620400041 035 $a(DE-He213)978-3-031-60027-2 035 $a(EXLCZ)9934118620400041 100 $a20240820d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aActivity Recognition and Prediction for Smart IoT Environments /$fedited by Michele Ianni, Antonella Guzzo, Raffaele Gravina, Hassan Ghasemzadeh, Zhelong Wang 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (188 pages) 225 1 $aInternet of Things, Technology, Communications and Computing,$x2199-1081 311 08$aPrint version: Ianni, Michele Activity Recognition and Prediction for Smart IoT Environments Cham : Springer,c2024 9783031600265 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Methodology for human activity recognition based on wearable sensor networks -- Efficient Sensing and Classification for Extended Battery Life -- Multi-user activity monitoring based on contactless sensing -- An efficient approach exploiting Ensemble Learning for Human Activity Recognition -- Activity Recognition Using 2-D LiDAR based on Improved MobileNet -- Habit mining through process-mining techniques. Survey and research challenges -- The role of ML in Activity Recognition in the Industry 4.0 -- IoT Based HAR patterns using Sensors based Approach in smart environment and enabled assistive technologies -- Trace2AR: a novel embedding for the detection of complex activity recognition -- Situation Aware Wearable Systems for Human Activity Recognition -- Conclusion. 330 $aThis book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from industrial to scientific, from business to daily living, from education to government and so on. New algorithms, architectures, and methodologies are proposed, as well as solutions to existing challenges with a focus on security, privacy, and safety. The book is relevant to researchers, academics, professionals and students. Provides a comprehensive review of the field of activity recognition; Covers an array of topics and applications illustrating the use of activity recognition in IoT related scenarios; Explains how to extract value from application logs and use the data to classify activities and predict actions. . 410 0$aInternet of Things, Technology, Communications and Computing,$x2199-1081 606 $aCooperating objects (Computer systems) 606 $aTelecommunication 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aBiometric identification 606 $aCyber-Physical Systems 606 $aCommunications Engineering, Networks 606 $aUser Interfaces and Human Computer Interaction 606 $aBiometrics 615 0$aCooperating objects (Computer systems). 615 0$aTelecommunication. 615 0$aUser interfaces (Computer systems). 615 0$aHuman-computer interaction. 615 0$aBiometric identification. 615 14$aCyber-Physical Systems. 615 24$aCommunications Engineering, Networks. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aBiometrics. 676 $a613.04244 702 $aIanni$b Michele 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910881100903321 996 $aActivity Recognition and Prediction for Smart IoT Environments$94207506 997 $aUNINA