LEADER 04585nam 22006735 450 001 996466304803316 005 20200702001451.0 010 $a3-662-59958-9 024 7 $a10.1007/978-3-662-59958-7 035 $a(CKB)4100000009160347 035 $a(DE-He213)978-3-662-59958-7 035 $a(MiAaPQ)EBC5923417 035 $a(PPN)25502892X 035 $a(EXLCZ)994100000009160347 100 $a20190828d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTransactions on Computational Science XXXIV$b[electronic resource] /$fedited by Marina L. Gavrilova, C.J. Kenneth Tan 205 $a1st ed. 2019. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2019. 215 $a1 online resource (XI, 137 p. 75 illus., 32 illus. in color.) 225 1 $aTransactions on Computational Science,$x1866-4733 ;$v11820 311 $a3-662-59957-0 327 $aMachine Learning in Hybrid Environment for Information Identification with Remotely Sensed Image Data -- Clustering-Based Aggregation of High-Utility Patterns from Unknown Multi-Database -- A Study of Three Different Approaches to Point Placement on a Line in an Inexact Model -- Cinolib: A Generic Programming Header Only C++ Library for Processing Polygonal and Polyhedral Meshes -- Trust Computation in VANET Cloud -- Received Power Exploration of Cooperative WSN Deployed in Adjustable Antenna Height Environment -- A Built-in Circuit for Self-Recon?guring Mesh-Connected Processor Arrays with Spares on Diagonal. 330 $aThe LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 34th issue of the Transactions on Computational Science, contains seven in-depth papers focusing on research on data analytics using machine learning and pattern recognition, with applications in wireless networks, databases, and remotely sensed data. . 410 0$aTransactions on Computational Science,$x1866-4733 ;$v11820 606 $aMachine learning 606 $aApplication software 606 $aSoftware engineering 606 $aData structures (Computer science) 606 $aArchitecture, Computer 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057 615 0$aMachine learning. 615 0$aApplication software. 615 0$aSoftware engineering. 615 0$aData structures (Computer science). 615 0$aArchitecture, Computer. 615 14$aMachine Learning. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aData Structures and Information Theory. 615 24$aComputer System Implementation. 676 $a006.3 702 $aGavrilova$b Marina L$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTan$b C.J. Kenneth$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466304803316 996 $aTransactions on Computational Science XXXIV$92510235 997 $aUNISA