Transfer learning significantly reduces the computational cost while maintaining performance comparable to models trained from scratch in this real biophotonic application. The results validate the ...

Researchers use deep learning to predict flooding this hurricane season Date: June 2, 2025 Source: Virginia Tech Summary: Researchers have developed a deep learning model called LSTM-SAM that ...

Consequently, there is a rise in the interest of utilizing deep learning methods to develop predictive models for early eye cancer detection and diagnosis. In this paper, we have conducted a ...

Recent evidence suggests that sonar provides bats only with limited information about the environment. Nevertheless, they can fly swiftly through dense environments while avoiding obstacles.

Identifying deep sleepers is a crucial strategy for gaining an edge in fantasy baseball, especially heading into the 2025 season. While early-round stars and we ...

Watershed models such as the Soil and Water Assessment Tool (SWAT) consist of high-dimensional physical and empirical parameters. These parameters often need to be estimated/calibrated through inverse ...

The model was trained using image search data from Bing. However, the data was quite bad (with a lot of cartoons and unrelated images) and hence the classifier is not very good. For example, the ...