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    Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

    Published 2025
    “…By predicting its production, we can develop a global plan for its production and stock, thereby preventing issues like famine. This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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    Article
  17. 2917

    Addressing challenges and shaping perceptions: Blended learning in english language classrooms at Pekan community college by Ezihaslinda, Ngah, Ainol Haryati, Ibrahim, Siti Nur Amanina, Nazri

    Published 2024
    “…In addition, factors like the level of institutional support and the accessibility of effective digital technologies are crucial. …”
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    Book Chapter
  18. 2918

    Violations of physical and psychological expectations in the human adult brain by Liu, Shari, Lydic, Kirsten, Mei, Lingjie, Saxe, Rebecca

    Published 2024
    “…We examined non-mutually exclusive candidates for the processes underlying the VOE effect, including domain-general processes, like visual prediction error and curiosity, and domain-specific processes, like prediction error with respect to distinctively physical and psychological expectations (objects are solid; agents behave rationally). …”
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    Article
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    Heterogeneous nucleation of polyethylene crystals on binary hexagonal nanoplatelets by Volchko, Nathan W., Rutledge, Gregory C.

    Published 2024
    “…Experimental measurements of heterogeneous nucleation of a high-density polyethylene on nanoparticles of these three graphene-like materials were performed using the method of dispersed microdroplets in an immiscible polystyrene matrix. …”
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    Article