LEADER 01133cam0-2200337---450- 001 990005694570403321 005 20150407124202.0 010 $a2-8017-0039-8 035 $a000569457 035 $aFED01000569457 035 $a(Aleph)000569457FED01 035 $a000569457 100 $a19990604d1976----km-y0itay50------ba 101 0 $aeng 102 $aBE 105 $aa-------10-yy 200 1 $aLexicostatics in genetic Linguistics II$eproceedings of the Montreal Conference$ecentre de Recherches Mathématiques, Université de Montréal, may 19-20, 1973$fedited by Isidore Dyen e Guy Jucquois 210 $aLouvain$cÉditions Peeters$d1976 215 $a173 p.$cill.$d24 cm 225 1 $aCahiers de l'Institut de linguistique de Louvain$v3.5-6 610 0 $aLessicologia$aCongressi 676 $a410$v23$zita 700 1$aDyen,$bIsidore$0196232 701 1$aJucquois,$bGuy$0218905 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990005694570403321 952 $a410 DYE 2$bIST.GLOTT. S.I.$fFLFBC 959 $aFLFBC 996 $aLexicostatics in genetic Linguistics II$9603163 997 $aUNINA LEADER 02145nam 2200349 450 001 9910729792603321 005 20230730055608.0 035 $a(CKB)4960000000468918 035 $a(NjHacI)994960000000468918 035 $a(EXLCZ)994960000000468918 100 $a20230730d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSensor Networks $ePhysical and Social Sensing in the IoT /$fSuparna De, Klaus Moessner 210 1$aBasel :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (316 pages) 311 $a3-0365-7469-7 330 $aThis reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor networks to smartphone-enabled citizen sensing data from social networks and personal health devices, which requires advanced data processing, mining and fusion methods. Solutions listed in this book include those that address issues of the interoperability of IoT solutions and data fragmentation through crawling, indexing and searching IoT data sources and the predictive maintenance of sensors. Social networks are also in scope, through a visualisation system for the analysis of anomalies in social graphs, detecting context-aware sociability patterns and assessing the effectiveness of fine tuning and pretrained word embedding in generating interpretable topics from short texts in social networks. Applications in scope include smart tourism, fall detection through personal health sensors and an energy management expert assistant. 606 $aSensor networks 615 0$aSensor networks. 676 $a681.2 700 $aDe$b Suparna$01376991 702 $aMoessner$b Klaus 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910729792603321 996 $aSensor Networks$93413445 997 $aUNINA