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    A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

    Published 2025-05-01
    “…The model’s robustness was further demonstrated on GRACE-A data (2002–2009, altitude of 450–540 km, avg. 482 km) under magnetically quiet conditions, with the RMSE decreasing from 0.3352 × <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>12</mn></mrow></msup></mrow></semantics></math></inline-formula> kg/m<sup>3</sup> to 0.2959 × <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>12</mn></mrow></msup></mrow></semantics></math></inline-formula> kg/m<sup>3</sup>, indicating improved high-altitude prediction accuracy. …”
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    Multi-Sensor Temporal Fusion Transformer for Stock Performance Prediction: An Adaptive Sharpe Ratio Approach by Jingyun Yang, Pan Li, Yiwen Cui, Xu Han, Mengjie Zhou

    Published 2025-02-01
    “…The model also demonstrates superior uncertainty quantification, providing reliable confidence intervals for its predictions. …”
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    MFE-DDI: A multi-view feature encoding framework for drug-drug interaction prediction by Lingfeng Wang, Yinghong Li, Yaozheng Zhou, Liping Guo, Congzhou Chen

    Published 2025-01-01
    “…In this study, we propose the Multi-view Feature Embedding for drug-drug interaction prediction (MFE-DDI), which integrates SMILES information, molecular graph data and atom spatial semantic information to model drugs from multiple perspectives and encapsulate the intricate drug information crucial for predicting DDIs. …”
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