LEADER 03098nam 22006255 450 001 996466333803316 005 20200809072219.0 010 $a3-030-00919-X 024 7 $a10.1007/978-3-030-00919-9 035 $a(CKB)4100000006674901 035 $a(DE-He213)978-3-030-00919-9 035 $a(MiAaPQ)EBC6222267 035 $a(PPN)230538932 035 $a(EXLCZ)994100000006674901 100 $a20180914d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning in Medical Imaging$b[electronic resource] $e9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings /$fedited by Yinghuan Shi, Heung-Il Suk, Mingxia Liu 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 409 p. 152 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11046 311 $a3-030-00918-1 330 $aThis book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11046 606 $aOptical data processing 606 $aArtificial intelligence 606 $aHealth informatics 606 $aData mining 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aHealth informatics. 615 0$aData mining. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 615 24$aData Mining and Knowledge Discovery. 676 $a006.37 702 $aShi$b Yinghuan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSuk$b Heung-Il$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Mingxia$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466333803316 996 $aMachine Learning in Medical Imaging$91918862 997 $aUNISA LEADER 02889oam 2200661I 450 001 9910963032303321 005 20240516075801.0 010 $a1-04-021026-0 010 $a1-5231-3441-0 010 $a0-429-15165-9 010 $a1-4398-2711-7 024 7 $a10.1201/b10914 035 $a(CKB)2670000000094065 035 $a(EBL)726850 035 $a(OCoLC)738434203 035 $a(SSID)ssj0000526342 035 $a(PQKBManifestationID)11913836 035 $a(PQKBTitleCode)TC0000526342 035 $a(PQKBWorkID)10520493 035 $a(PQKB)11385726 035 $a(Au-PeEL)EBL726850 035 $a(CaPaEBR)ebr10473062 035 $a(CaONFJC)MIL693230 035 $a(Au-PeEL)EBL4010178 035 $a(OCoLC)1298602791 035 $a(FINmELB)ELB158070 035 $a(MiAaPQ)EBC726850 035 $a(EXLCZ)992670000000094065 100 $a20180331d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUnderstanding structural engineering $efrom theory to practice /$fWai-Fah Chen, Salah El-Din E. El-Metwally 205 $a1st ed. 210 $aBoca Raton $cCRC Press$d2011 210 1$aBoca Raton :$cCRC Press,$d2011. 215 $a1 online resource (266 p.) 300 $aDescription based upon print version of record. 311 08$a1-322-61948-4 311 08$a1-4398-2710-9 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; Preface; Authors; Chapter 1: From Science to Engineering; The Era of Elasticity; Chapter 3: The Era of Plasticity; Chapter 4: The Era of Finite Element; Chapter 5: Strut-and-Tie Model for Design of Structural Concrete Discontinuity Regions; Chapter 6: Toward Advanced Analysis for Steel Frame Design; Chapter 7: The Era of Model-Based Simulation; Back Cover 330 $aFrom science to engineering and from theory to practice, it illustrates different breakthroughs, traced back to their origin and placed into prospective. First, the text presents the fundamental laws of mechanics, the theory of elasticity, and the development of the generalized stress-generalized strain concept. Next, it details the era of plasticity. The finite element method comes as an offspring of the generalized stress generalized strain concept. Finally, the authors explore the era of computer simulation to offer a glimpse into the future--$cProvided by publisher. 606 $aStructural engineering 615 0$aStructural engineering. 676 $a624.1 686 $aTEC005000$aTEC009020$aTEC063000$2bisacsh 700 $aChen$b Wai-Fah$f1936-$030946 701 $aEl-Metwally$b Salah El-Din E$01829054 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910963032303321 996 $aUnderstanding structural engineering$94470544 997 $aUNINA