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Published in 2018 at "Advances in Atmospheric Sciences"
DOI: 10.1007/s00376-017-7108-0
Abstract: A dual-resolution (DR) version of a regional ensemble Kalman filter (EnKF)-3D ensemble variational (3DEnVar) coupled hybrid data assimilation system is implemented as a prototype for the operational Rapid Refresh forecasting system. The DR 3DEnVar system…
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Keywords:
resolution;
system;
assimilation system;
data assimilation ... See more keywords
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Published in 2021 at "Innovations in Systems and Software Engineering"
DOI: 10.1007/s11334-021-00387-6
Abstract: Software quality has been the important area of interest for decades now in the IT sector and software firms. Defect prediction gives the tester the pointers as to where the bugs will most likely be…
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Keywords:
data mining;
hybrid data;
software;
mining technique ... See more keywords
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Published in 2021 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2020.1829628
Abstract: ABSTRACT The search for the most appropriate GIS data model to integrate, manipulate and analyse spatio-temporal data raises several research questions about the conceptualisation of geographic spaces. Although there is now a general consensus that…
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Keywords:
spatio temporal;
application;
model;
geomorphological dynamics ... See more keywords
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Published in 2018 at "Inverse Problems"
DOI: 10.1088/1361-6420/aa9d78
Abstract: For a general formulation of linearised hybrid inverse problems in impedance tomography, the qualitative properties of the solutions are analysed. Using an appropriate scalar pseudo-differential formulation, the problems are shown to permit propagating singularities under…
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Keywords:
linearised hybrid;
impedance tomography;
hybrid data;
singularities linearised ... See more keywords
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Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2946276
Abstract: Automatic driving services have large volume, location-aware, and time-changing contents, which are suitable to be cached by the edge. However, the traffic on the edge will be extremely high especially in the area with high…
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Keywords:
vehicle;
traffic;
hybrid data;
edge ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3177449
Abstract: Considering the wide application of multiple types of sensors with diversified data sensing and collection capabilities, we focus on the resulting hybrid data partitioning among the local data set distributed at the edge sensors, especially…
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Keywords:
hybrid data;
dynamic quantization;
data partitioning;
allocation dynamic ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3123631
Abstract: A long-horizon hybrid data-model predictive direct power control (HD-MPDPC) scheme is proposed. The hybrid control scheme is for grid-side power electronic converters (PEC) in grid-connected renewable energy sources (RES). Computational burden of conventional MPDPC is…
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Keywords:
hybrid data;
data model;
control;
power ... See more keywords
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Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0286406
Abstract: Exposure to traffic-related air pollutants (TRAPs) has been associated with numerous adverse health effects. TRAP concentrations are highest meters away from major roads, and disproportionately affect minority (i.e., non-white) populations often considered the most vulnerable…
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Keywords:
hybrid data;
ramp hybrid;
data fusion;
air ... See more keywords
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Published in 2018 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph15051032
Abstract: Daily land surface temperature (LST) forecasting is of great significance for application in climate-related, agricultural, eco-environmental, or industrial studies. Hybrid data-driven prediction models using Ensemble Empirical Mode Composition (EEMD) coupled with Machine Learning (ML) algorithms…
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Keywords:
mode;
data driven;
model;
hybrid data ... See more keywords