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020 _a9783662599587
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024 7 _a10.1007/978-3-662-59958-7
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072 7 _aMAT029000
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082 0 4 _a006.31
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245 1 0 _aTransactions on Computational Science XXXIV
_h[electronic resource] /
_cedited by Marina L. Gavrilova, C.J. Kenneth Tan.
250 _a1st ed. 2019.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2019.
300 _aXI, 137 p. 75 illus., 32 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aTransactions on Computational Science,
_x1866-4741 ;
_v11820
505 0 _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-Reconfiguring Mesh-Connected Processor Arrays with Spares on Diagonal.
520 _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 focusingon research on data analytics using machine learning and pattern recognition, with applications in wireless networks, databases, and remotely sensed data. .
650 0 _aMachine learning.
_91831
650 0 _aApplication software.
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650 0 _aSoftware engineering.
_94138
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aComputer systems.
_992703
650 1 4 _aMachine Learning.
_91831
650 2 4 _aComputer and Information Systems Applications.
_992704
650 2 4 _aSoftware Engineering.
_94138
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aComputer System Implementation.
_938514
700 1 _aGavrilova, Marina L.
_eeditor.
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700 1 _aTan, C.J. Kenneth.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aTransactions on Computational Science,
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_992708
856 4 0 _uhttps://doi.org/10.1007/978-3-662-59958-7
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