Non-destructive estimation of spatially varying thermal conductivity in 3D objects using boundary thermal measurements
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Thermal Sciences"
DOI: 10.1016/j.ijthermalsci.2017.05.011
Abstract: Abstract A methodology for non-destructive, accelerated inverse estimation of spatially varying material properties using only boundary measurements is presented. The spatial distribution of diffusion coefficient in 3D solid object is determined by minimizing the sum… read more here.
Keywords: methodology; using boundary; non destructive; estimation spatially ... See more keywords
Efficient distributed clustering using boundary information
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.11.014
Abstract: Abstract In the era of big data, it is increasingly common that large amount of data is generated across multiple distributed sites and cannot be gathered into a centralized site for further analysis, which invalidates… read more here.
Keywords: efficient distributed; information; using boundary; dcubi ... See more keywords
Inter-comparisons of SWAN hindcasts using boundary conditions from WAM and WWIII for northwest and northeast coasts of India
Sign Up to like & getrecommendations! Published in 2018 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2018.03.029
Abstract: Abstract In this study, we present the inter-comparison of regional SWAN hindcasts using boundary conditions (BC) from the third generation wave models WAM and WWIII implemented globally. Here, SWAN inter-comparison studies with outputs of both… read more here.
Keywords: hindcasts using; using boundary; using wam; boundary conditions ... See more keywords
Grid-Based Clustering Using Boundary Detection
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DOI: 10.3390/e24111606
Abstract: Clustering can be divided into five categories: partitioning, hierarchical, model-based, density-based, and grid-based algorithms. Among them, grid-based clustering is highly efficient in handling spatial data. However, the traditional grid-based clustering algorithms still face many problems:… read more here.
Keywords: clustering using; boundary detection; based clustering; grid based ... See more keywords