LEADER 01520nam2-2200409---450- 001 990003140670203316 005 20080926163950.0 010 $a978-3-540-70929-9 035 $a000314067 035 $aUSA01000314067 035 $a(ALEPH)000314067USA01 035 $a000314067 100 $a20080908d2008----km-y0itay50------ba 101 $aeng 102 $aDE 105 $aa---||||001yy 200 1 $aModel-driven development of reliable automotive services$eSecond automotive software workshop, ASWSD 2006$eSan Diego, CA, USA, March 15-17, 2006$eRevised selected papers$fManfred Broy, Ingolf H. Krüger, Michael Meisinger (Eds.) 210 $aBerlin [etc.]$cSpringer$dcopyr. 2008 215 $aXVIII, 181 p.$cill.$d24 cm 225 2 $aLecture notes in computer science$v4922 410 0$12001$aLecture notes in computer science 461 1$1001000314960$12001$aLecture notes in computer science 606 0 $aInformatica$xCongressi$ySan Diego$z2006 676 $a001 702 1$aBROY,$bManfred 702 1$aKRÜGER,$bIngolf H. 702 1$aMEISINGER,$bMichael 710 12$aAutomotive software workshop, ASWSD 2006$b<2.;$f2006;$eSan Diego>$0602010 801 0$aITA$bsalbc$gISBD 912 $a990003140670203316 951 $a001 LNCS 4922$b37269/CBS$c001$d00217606 959 $aBK 969 $aSCI 979 $aCBAS$b10$c20080908$lUSA01$h0933 979 $aANGELA$b90$c20080926$lUSA01$h1639 996 $aModel-driven development of reliable automotive services$91016406 997 $aUNISA LEADER 04103nam 2201009z- 450 001 9910557553903321 005 20210501 035 $a(CKB)5400000000044067 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68541 035 $a(oapen)doab68541 035 $a(EXLCZ)995400000000044067 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInnovative Topologies and Algorithms for Neural Networks 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (198 p.) 311 08$a3-0365-0284-X 311 08$a3-0365-0285-8 330 $aThe introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved state-of-the-art applications in many fields, such as computer vision, speech and text processing, medical applications, and IoT (Internet of Things). The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. Accordingly, much of the recent research on neural networks has been devoted to the study and proposal of novel architectures, including solutions tailored to specific problems. This book gives significant contributions to the above-mentioned fields by merging theoretical aspects and relevant applications. 606 $aInformation technology industries$2bicssc 610 $a3D convolution neural network 610 $aaction recognition 610 $aalternative fusion neural network 610 $aArabic named entity recognition 610 $aattention mechanism 610 $aautoencoders 610 $abidirectional gated recurrent unit 610 $abidirectional recurrent neural network 610 $aChinese text classification 610 $aCNN 610 $aconvolution neural Networks 610 $aconvolutional neural network 610 $aconvolutional neural networks 610 $adeep convolutional neural networks 610 $adeep learning 610 $adistributed systems 610 $aelements recognition 610 $aembedded deep learning 610 $afacial image analysis 610 $afacial nerve paralysis 610 $afeature fusion 610 $afully convolutional network 610 $afused features 610 $agesture recognition 610 $agradient-weighted class activation maps 610 $agraph convolutional network 610 $agraph partitioning 610 $aGRU 610 $ahuman computer interaction 610 $aimage classification 610 $aInternet of Things 610 $aIoT (Internet of Thing) systems 610 $alinguistic features 610 $along short-term memory 610 $along short-term-memory 610 $along-short-term memory networks 610 $aLSTM 610 $aLSTM-CRF model 610 $amedical applications 610 $amotion map 610 $amulti-label learning 610 $anatural language processing 610 $aobject detection network 610 $aobject recognition 610 $apedestrian attribute recognition 610 $aPOS syntactic rules 610 $aresource-efficient inference 610 $ascalability 610 $asentiment analysis 610 $asentiment attention mechanism 610 $aship identification 610 $atext recognition 610 $atooth-marked tongue 610 $aword embedding 615 7$aInformation technology industries 700 $aXibilia$b Maria Gabriella$4edt$01096523 702 $aGraziani$b Salvatore$4edt 702 $aXibilia$b Maria Gabriella$4oth 702 $aGraziani$b Salvatore$4oth 906 $aBOOK 912 $a9910557553903321 996 $aInnovative Topologies and Algorithms for Neural Networks$93018938 997 $aUNINA