LEADER 00952nam0-22003251i-450- 001 990000904260403321 005 20091104125529.0 010 $a0-7503-0840-0 035 $a000090426 035 $aFED01000090426 035 $a(Aleph)000090426FED01 035 $a000090426 100 $a20030226d2002----km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $aa-------001yy 200 1 $aEvaluating the measurement uncertainty$efundamentals and practical guidance$fIgnacio Lira 210 $aBristol$cInstitut of Physics Pub.$d2002 215 $aXVI,243 p.$cill.$d24 cm 225 1 $aSeries in measurement science and technology 610 0 $aMisure 676 $a530.8 700 1$aLira,$bIgnacio$044035 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000904260403321 952 $a10 D I 248$bDIEL 2976$fDINEL 959 $aDINEL 996 $aEvaluating the measurement uncertainty$9357513 997 $aUNINA LEADER 00839nam a2200253 i 4500 001 991001902349707536 005 20020508183512.0 008 930821s1993 it ||| | ita 020 $a8815038159 035 $ab10929952-39ule_inst 035 $aPARLA150910$9ExL 040 $aIstituto di Filosofia$bita 100 1 $aFumagalli, Vito$038605 245 12$aL'alba del Medioevo /$cVito Fumagalli 260 $aBologna :$bIl Mulino,$c1993 300 $a99 p. ;$c21 cm. 490 0 $aIntersezioni ;$v109 650 4$aMedioevo 907 $a.b10929952$b23-02-17$c28-06-02 912 $a991001902349707536 945 $aLE005 Ist.Fil. XVI M 26$g1$iLE004-5482$lle005$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11034919$z28-06-02 996 $aAlba del Medioevo$9635017 997 $aUNISALENTO 998 $ale005$b01-01-93$cm$da $e-$fita$git $h2$i1 LEADER 03371nam 22006375 450 001 9910984686803321 005 20251116222333.0 010 $a9789819790456 010 $a981979045X 024 7 $a10.1007/978-981-97-9045-6 035 $a(CKB)37726287100041 035 $a(MiAaPQ)EBC31927412 035 $a(Au-PeEL)EBL31927412 035 $a(DE-He213)978-981-97-9045-6 035 $a(OCoLC)1505735808 035 $a(EXLCZ)9937726287100041 100 $a20250228d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdaptive Intelligence $eSelect Proceedings of InCITe 2024, Volume 1 /$fedited by Nitasha Hasteer, Seán McLoone, Purushottam Sharma, Ranjana Nallamalli 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (710 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1280 311 08$a9789819790449 311 08$a9819790441 327 $aComputational Intelligence: Theoretical Foundation -- Computational Intelligence & Knowledge Discovery -- Computational Intelligence & Data Science -- Computational Intelligence for Information Security -- Computational Intelligence & IoT enabling Architectures -- Computational Intelligence & its applications -- Computational Paradigms. 330 $aThis book comprises the select peer-reviewed proceedings of the 4th International Conference on Information Technology (InCITe-2024). It aims to provide a comprehensive knowledge base encompassing state-of-the-art research and development in adaptive intelligence, decision intelligence, artificial intelligence, deep learning, machine learning, data science, and enabling technologies for IoT, blockchain, and other futuristic technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, social networks, and intelligence, decision-making, and modeling, information systems, IT architectures, and security related aspects. This book provides a valuable resource for those in academia and industry. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1280 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aQuantitative research 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aData Analysis and Big Data 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aQuantitative research. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Analysis and Big Data. 676 $a006.3 700 $aHasteer$b Nitasha$01449925 701 $aMcLoone$b Sean$00 701 $aSharma$b Purushottam$01460321 701 $aNallamalli$b Ranjana$01790256 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910984686803321 996 $aAdaptive Intelligence$94326328 997 $aUNINA