Two AI models have achieved gold medal standard for the first time in a prestigious competition for young mathematicians – ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

(13) These deep learning methods have garnered significant interest and have achieved state-of-the-art performance on benchmarks; therefore, we evaluate their ability to predict allosteric binders.

Continuous monitoring of fetal heart rate (FHR) and uterine contractions (UC), otherwise known as cardiotocography (CTG), is often used to assess the risk of fetal compromise during labor. However, ...

Hyperspectral remote sensing images exhibit high dimensionality, a large volume of data, and significant redundant information. Before using deep learning methods for ground monitoring and ...

We developed a deep learning–based method that uses phonocardiograms (PCGs) for the detection of elevated pulmonary artery systolic pressure, an indicator of pulmonary hypertension.

Bentivoglio, R., Isufi, E., Jonkman, S. B., & Taormina, R. (2022). Deep Learning Methods for Flood Mapping A Review of Existing Applications and Future Research ...