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Transactions on Computational Science XIII (Lecture Notes in Computer Science, 6750),Used
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From the Back Cover The 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 highquality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of largescale 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 leadingedge, largescale, 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, multiphase segmentation, the roughset approach to incomplete information systems, and faulttolerant systolic arrays for matrix multiplications. The five papers in Part II focus on neuralnetworkbased trajectory prediction, privacy in vehicular adhoc networks, augmented reality for museum display and the consumer garment tryon experience, and geospatial knowledge discovery for crime analysis. Product Description 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, multiphase segmentation, the roughset approach to incomplete information systems, and faulttolerant systolic arrays for matrix multiplications. The five papers in Part II focus on neuralnetworkbased trajectory prediction, privacy in vehicular adhoc networks, augmented reality for museum display and the consumer garment tryon experience, and geospatial knowledge discovery for crime analysis.
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