Showing 1 - 7 results of 7 for search 'data-poor modelling environmental', query time: 0.18s Refine Results
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    “intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles by Souvik Pore, Kunal Roy

    Published 2025-01-01
    “…As a result, assessing the health risks and environmental impacts of NPs has gained considerable attention. …”
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    TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

    Published 2025-02-01
    “…We present a transfer learning-based prediction system design that can maintain high prediction performance even in data-poor environments. In the process of developing a prediction model suitable for the target domain by utilizing multi-source data, we propose a data similarity evaluation method using DTW, which demonstrates excellent performance with low error rates in the MSE and MAE metrics compared with conventional long short-term memory (LSTM) and Transformer models. …”
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    Emission inventory development for spatiotemporal release of vanadium from anthropogenic sources in China by H. Zhang, H. Zhang, B. Zhang, B. Jiang, Q. Li, X. Hu, Y. Xing

    Published 2025-06-01
    “…A cumulative flux model reveals emissions of 211 095, 3725, and 0.1 t of vanadium into the atmosphere, soil, and water during 2015–2019, respectively, highlighting the atmosphere as the primary vanadium receptor. …”
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