ABSTRACT: Biogas is gaining prominence as a renewable energy source with significant potential to reduce greenhouse gas emissions and mitigate environmental impacts associated with fossil fuels. This ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Baijiu is a type of traditional Chinese alcoholic beverage with significant economic ...

MCED tests utilize liquid biopsies to detect multiple cancer types early, using ctDNA and other biomarkers analyzed by machine learning. Machine learning models, including deep learning, enhance MCED ...

BERLIN — Gut microbial biomarkers identified using machine learning can differentiate patients with inflammatory bowel disease (IBD) from healthy control individuals, according to a study presented at ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.

Learning on temporal graphs has attracted tremendous research interest due to its wide range of applications. Some works intuitively merge graph neural networks (GNNs) and recurrent neural networks ...

Abstract: Complex tissues such as brain and bone marrow are made up of multiple cell types. As the study of biological tissue structure progresses, the role of cell-type-specific research becomes ...