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Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion
Published 2025-01-01“…Aiming at the problem that the stochastic change of wind turbine generator (WTG) working conditions and the complex nonlinear relationship between load and operation data make it difficult to predict the short-term load online, this paper proposes an adaptive multi-information source data fusion online prediction method for WTG load. Random forest (RF) and WaveNet time series (WTS) are established as subinformation source models, and the influence of input features and historical data on load prediction is considered from horizontal and vertical dimensions. …”
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Vision-Based Damage Detection Method Using Multi-Scale Local Information Entropy and Data Fusion
Published 2025-01-01Subjects: Get full text
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A data fusion-based method for pedestrian detection and flow statistics across different crowd densities
Published 2025-03-01Subjects: Get full text
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User image construction framework based on big data fusion background for power grid business travel
Published 2019-12-01Get full text
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High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion
Published 2025-01-01Subjects: “…Data fusion…”
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Combination on GNSS precise point positioning and InSAR data fusion to monitor the land subsidence in Taiwan
Published 2025-12-01Subjects: Get full text
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Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
Published 2024-08-01“…This strategy underscores the potential of coupling high-throughput classical simulations with data fusion methodologies to yield state-of-the-art property predictors, especially when experimental data for targeted properties is scarce.…”
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Improving CT reconstructions of multi-material assemblies by multi-position data fusion: a case study
Published 2025-02-01“…This study validates a method for selecting optimal combinations of object orientations to improve volumetric reconstructions through multi-position CT data fusion. The approach operates in the projection domain, minimizing the need for extensive datasets while enhancing artifact mitigation. …”
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A data fusion approach for providing valid annual passenger transport statistics during the COVID-19 pandemic
Published 2025-01-01Subjects: “…Data fusion…”
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Quality identification of Amomi fructus using E-nose, HS-GC-IMS, and intelligent data fusion methods
Published 2025-02-01Subjects: Get full text
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Classification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion
Published 2025-01-01“…This study proposes a multi-source remote sensing data fusion method based on Sentinel-1 and Sentinel-2 imagery, integrating the temporal characteristics of optical and SAR (synthetic aperture radar) data for the classification mapping of salt marsh vegetation in the Yellow River Delta. …”
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Toward Enhanced Prediction of High‐Impact Solar Energetic Particle Events Using Multimodal Time Series Data Fusion Models
Published 2024-06-01“…In this study, we conduct an in‐depth investigation into the application of multimodal data fusion techniques for the prediction of high‐energy SEP events, particularly ∼100 MeV events. …”
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