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   Articles with "hybrid data" as a keyword



A Prototype Regional GSI-based EnKF-Variational Hybrid Data Assimilation System for the Rapid Refresh Forecasting System: Dual-Resolution Implementation and Testing Results

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recommendations! 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… read more here.

Keywords: resolution; system; assimilation system; data assimilation ... See more keywords

Semi-supervised attribute reduction for hybrid data

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recommendations! Published in 2024 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-023-10642-w

Abstract: Due to the high cost of labelling data, a lot of partially hybrid data are existed in many practical applications. Uncertainty measure (UM) can supply new viewpoints for analyzing data. They can help us in… read more here.

Keywords: information; attribute reduction; supervised attribute; semi supervised ... See more keywords
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Optimization of association rules using hybrid data mining technique

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recommendations! 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… read more here.

Keywords: data mining; hybrid data; software; mining technique ... See more keywords

A hybrid data model for dynamic GIS: application to marine geomorphological dynamics

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recommendations! 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… read more here.

Keywords: spatio temporal; application; model; geomorphological dynamics ... See more keywords
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Propagation of singularities for linearised hybrid data impedance tomography

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recommendations! 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… read more here.

Keywords: linearised hybrid; impedance tomography; hybrid data; singularities linearised ... See more keywords

Efficient Hybrid Data Dissemination for Edge-Assisted Automated Driving

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recommendations! 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… read more here.

Keywords: vehicle; traffic; hybrid data; edge ... See more keywords

Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning

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recommendations! 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… read more here.

Keywords: hybrid data; dynamic quantization; data partitioning; allocation dynamic ... See more keywords

Hybrid Data Augmentation Combining Screening-Based MCGAN and Manual Transformation for Few-Shot Tool Wear State Recognition

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3372438

Abstract: Deep learning has been widely applied in fault diagnosis and monitoring, but obtaining labeled data under abnormal conditions is challenging. This limitation makes the best current deep learning methods seem powerless as they require a… read more here.

Keywords: shot; recognition; hybrid data; data augmentation ... See more keywords

Hybrid Data-Model Predictive Control for Enabling Participation of Renewables in Regulating Reserves Service

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recommendations! 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… read more here.

Keywords: hybrid data; data model; control; power ... See more keywords
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A hyperlocal hybrid data fusion near-road PM2.5 and NO2 annual risk and environmental justice assessment across the United States

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recommendations! 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… read more here.

Keywords: hybrid data; ramp hybrid; data fusion; air ... See more keywords

A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition

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recommendations! 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… read more here.

Keywords: mode; data driven; model; hybrid data ... See more keywords