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Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1734252
Abstract: ABSTRACT This paper proposes a framework for automatic classification of mobile laser scanner (MLS) point cloud using multi-faceted multi-object convolutional neural network (MMCN). The proposed method takes a full three-dimensional (3D) point cloud as input…
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Keywords:
automatic classification;
framework automatic;
classification;
framework ... See more keywords
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Published in 2017 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2016.2637364
Abstract: A framework of automatic clustering and tracking algorithm is proposed for the multipath components (MPCs) in time-variant radio channels. The algorithm is based on the channel dynamics in time domain and is able to reflect…
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Keywords:
multipath components;
framework automatic;
clustering tracking;
automatic clustering ... See more keywords
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Published in 2018 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2018.2789903
Abstract: The continued growth in the width of vector registers and the evolving library of intrinsics on the modern x86 processors make manual optimizations for data-level parallelism tedious and error-prone. In this paper, we focus on…
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Keywords:
framework automatic;
parallel sorting;
automatic vectorization;
x86 based ... See more keywords
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Published in 2020 at "Hydrology and Earth System Sciences Discussions"
DOI: 10.5194/hess-2020-367
Abstract: Abstract. A new Bayesian framework for automatic calibration of SWMM, which simultaneously considers both parameter uncertainty and input uncertainty, was developed. The framework coupled an optimization algorithm DREAM and the Storm Water Management Model (SWMM)…
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Keywords:
framework automatic;
uncertainty;
framework;
automatic calibration ... See more keywords