Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...
Abstract: Tomato cultivation is essential for global agricultural production, but the occurrence of diseases can lead to significant yield losses. To address this challenge, this paper proposes a ...
Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...
Acute myocardial infarction (AMI) is significantly influenced by meteorological conditions; however, leveraging meteorological data to predict AMI incidence remains challenging. This study aimed to ...
Abstract: Machine learning-based hiring systems are increasingly adopted in recruitment due to their efficiency. However, the systems can inadvertently introduce or amplify biases, particularly gender ...
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