LEADER 01101cam a2200253 i 4500 001 991000476499707536 008 021120s2003 enka b 001 0 eng 020 $a184376234X 035 $ab12622187-39ule_inst 040 $aDip.to Studi Giuridici$bita 082 0 $a363.70 100 1 $aFaure, Michael$0482097 245 14$aThe economic analysis of environmental policy and law :$ban introduction /$cMichael Faure, Gčoran Skogh 260 $aCheltenham, UK ;$aNorthampton, MA :$bEdward Elgar,$cc2003 300 $axiv, 354 p. :$bill. ;$c23 cm 504 $aInclude riferimenti bibliografici (p. 325-341) e indice 650 0$aDiritto ambientale$xAspetti economici 700 1 $aSkogh, Gčoran$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0733694 907 $a.b12622187$b02-04-14$c16-02-04 912 $a991000476499707536 945 $aLE027 363.70 FAU01.01$g1$i2027000051571$lle027$o-$pE98.00$q-$rl$s- $t0$u2$v0$w2$x0$y.i13107756$z16-02-04 996 $aEconomic analysis of environmental policy and law$91446747 997 $aUNISALENTO 998 $ale027$b16-02-04$cm$da $e-$feng$genk$h4$i1 LEADER 03090nam 22006855 450 001 9910743700203321 005 20230904102733.0 010 $a9789819926091 010 $a9819926092 024 7 $a10.1007/978-981-99-2609-1 035 $a(MiAaPQ)EBC30728637 035 $a(Au-PeEL)EBL30728637 035 $a(DE-He213)978-981-99-2609-1 035 $a(PPN)272739693 035 $a(CKB)28152180500041 035 $a(OCoLC)1396182013 035 $a(EXLCZ)9928152180500041 100 $a20230904d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Data Science Based R&D Interventions $eProceedings of NERC 2022 /$fedited by Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (227 pages) 311 08$aPrint version: Bhattacharjee, Ratnajit Artificial Intelligence and Data Science Based R&d Interventions Singapore : Springer,c2023 9789819926084 327 $aNegation in A Language -- A Computational Approach for the Tonal Identification in Bodo Language -- Real-Time Detection of Natural Scene Assamese Texts using Deep Learning -- Development Of Directional Drilling Well Profile Design App Using Python -- Prediction and forecasting municipal solid waste generation of Northeastern cities by retrofitting ML models of Guwahati, India. 330 $aThis book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning. 606 $aArtificial intelligence 606 $aArtificial intelligence$xData processing 606 $aNatural language processing (Computer science) 606 $aSpeech processing systems 606 $aSignal processing 606 $aArtificial Intelligence 606 $aData Science 606 $aNatural Language Processing (NLP) 606 $aSpeech and Audio Processing 615 0$aArtificial intelligence. 615 0$aArtificial intelligence$xData processing. 615 0$aNatural language processing (Computer science) 615 0$aSpeech processing systems. 615 0$aSignal processing. 615 14$aArtificial Intelligence. 615 24$aData Science. 615 24$aNatural Language Processing (NLP). 615 24$aSpeech and Audio Processing. 676 $a004 700 $aBhattacharjee$b Ratnajit$01426857 701 $aNeog$b Debanga Raj$01426858 701 $aMopuri$b Konda Reddy$01426859 701 $aVipparthi$b Santosh Kumar$01426860 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743700203321 996 $aArtificial Intelligence and Data Science Based R&d Interventions$93559210 997 $aUNINA