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    Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan by Anas Mohamed Abaker Babai, Olugbenga Ajayi Ehinola, Omer.I.M. Fadul Abul Gebbayin, Mohammed Abdalla Elsharif Ibrahim

    Published 2025-03-01
    “…Random Forest (RF) and Gradient Boosting (GB) are highly effective for facies classification because they handle complex relationships and provide high predictive accuracy. …”
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    Symptoms indicative of early knee osteoarthritis after ACL reconstruction: descriptive analysis of the SHIELD cohort by Anna Cronström, May Arna Risberg, Martin Englund, Dorthe B. Strauss, Paul Neuman, Carl Johan Tiderius, Eva Ageberg

    Published 2025-03-01
    “…Conclusion: The proportion of participants fulfilling existing classification criteria for symptoms indicative of early OA after ACLR is highly dependent on the criteria applied and different criteria seem to capture varying aspects of early OA symptoms. …”
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