Gigi Hadid brought another iconic look to the 2025 Met Gala, donning a golden, sequinned custom Miu Miu gown and channeling ...

Climate models are essential tools for understanding and predicting our planet, but accurately setting their many internal parameters is complex and has been a labor-intensive manual task in the past.

To address these challenges, this article proposes an ensemble-based surrogate framework. Specifically, a global model and multiple local models are constructed as ensemble members to approximate each ...

In addition, unlike Cox regression models and other popular models, estimations and comparisons made using RMST do not rely on the proportional hazard assumption that the likelihood of an event ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article.

To address this problem, a Transformer-based ensemble learning method is proposed to multistep predict the temperature using multivariate process parameters. First, a novel Transformer-based model is ...

A new deep learning model is pushing the boundaries of agricultural disease detection by achieving near-perfect accuracy in identifying tea leaf diseases. A study published in Horticulturae on April ...

Although there are many existing machine learning classifiers for PPD prediction, the requirements for high accuracy and the interpretability of models present new challenges. Methods: This paper ...

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