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    Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

    Published 2025-04-01
    “…The current evaluation models for earth-rock dam compaction quality seldom incorporate parameter uncertainty considerations. …”
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  8. 368

    The Quest for the Best Explanation: Comparing Models and XAI Methods in Air Quality Modeling Tasks by Thomas Tasioulis, Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas

    Published 2025-07-01
    “…Our evaluation set included 12 monitoring stations using temporal split methods with or without lagged-feature engineering approaches. Moreover, the evaluation showed that models retained a substantial degree of predictive power (R<sup>2</sup> > 0.93) even in a reduced complexity size. …”
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  9. 369

    Exploring the Detection Accuracy of Concrete Cracks Using Various CNN Models by Mohammed Ameen Mohammed, Zheng Han, Yange Li

    Published 2021-01-01
    “…Automatic crack detection with the least amount of workforce has become a crucial task in the inspection and evaluation of the performances of concrete structure in civil engineering. Recently, although many concrete crack detection models based on convolutional neural networks (CNNs) have been developed, the accuracy of the proposed models varies. …”
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    Pro-social materials – Sustainable models powered by quality education by Barbara Del Curto, Sara Valassina, Romina Santi

    Published 2025-06-01
    “… A ‘quality education’ is a fundamental engine for reducing social inequalities. However, vulnerable communities often do not have access to training programs that provide skills related to circularity and sustainability issues. …”
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    Large Language Models in Healthcare and Medical Applications: A Review by Subhankar Maity, Manob Jyoti Saikia

    Published 2025-06-01
    “…Additionally, it critically examines the prevailing technical and social challenges of healthcare LLMs, including issues of model bias, interpretability, ethics, governance, fairness, equity, data privacy, and regulatory compliance. …”
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