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| 001 | 978-3-642-22619-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240730195751.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110808s2011 gw | s |||| 0|eng d | ||
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_a9783642226199 _9978-3-642-22619-9 |
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_a10.1007/978-3-642-22619-9 _2doi |
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| 050 | 4 | _aQA76.9.H85 | |
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| 245 | 1 | 0 |
_aTransactions on Computational Science XIII _h[electronic resource]. |
| 250 | _a1st ed. 2011. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2011. |
|
| 300 |
_aXX, 205 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_aTransactions on Computational Science, _x1866-4741 ; _v6750 |
|
| 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. The 13th issue of the Transactions on Computational Science journal consists of two parts. The six papers in Part I span the areas of computing collision probability, digital image contour extraction, multiplicatively weighted Voronoi diagrams, multi-phase segmentation, the rough-set approach to incomplete information systems, and fault-tolerant systolic arrays for matrix multiplications. The five papers in Part II focus on neural-network-based trajectory prediction, privacy in vehicular ad-hoc networks, augmented reality for museum display and the consumer garment try-on experience, and geospatial knowledge discovery for crime analysis. | ||
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_aUser interfaces (Computer systems). _911681 |
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_aHuman-computer interaction. _96196 |
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_aArtificial intelligence. _93407 |
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_aApplication software. _9161268 |
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_aComputer networks . _931572 |
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_aComputers and civilization. _921733 |
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| 650 | 0 |
_aData mining. _93907 |
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| 650 | 1 | 4 |
_aUser Interfaces and Human Computer Interaction. _931632 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aComputer and Information Systems Applications. _9161269 |
| 650 | 2 | 4 |
_aComputer Communication Networks. _9161270 |
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_aComputers and Society. _931668 |
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_aData Mining and Knowledge Discovery. _9161271 |
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_aSpringerLink (Online service) _9161272 |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783642226182 |
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_iPrinted edition: _z9783642226205 |
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_aTransactions on Computational Science, _x1866-4741 ; _v6750 _9161273 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-642-22619-9 |
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