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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…
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Keywords:
methodology;
using boundary;
non destructive;
estimation spatially ... See more keywords
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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…
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Keywords:
efficient distributed;
information;
using boundary;
dcubi ... See more keywords
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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…
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Keywords:
hindcasts using;
using boundary;
using wam;
boundary conditions ... See more keywords
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Published in 2022 at "Entropy"
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:…
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Keywords:
clustering using;
boundary detection;
based clustering;
grid based ... See more keywords