Depression is a common mental health issue, and early detection is crucial for timely intervention. This study proposes an end-to-end EEG-based depression recognition model, AMCCBDep, which combines ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

The U.S. Office of Personnel Management (OPM) recently emailed over 2 million federal employees an offer to pay eight months of salary in exchange for resignation. Initiated by the newly launched ...

Introduction: The accurate determination of the ocean sound speed profile (SSP) is essential for oceanographic research and marine engineering. Traditional methods for acquiring SSP data are often ...

LiDAR point cloud semantic segmentation enables the robots to obtain fine-grained semantic information of the surrounding environment. Recently, many works project the point cloud onto the 2D image ...

A new touring exhibition coming to the Science Museum of Virginia later this month aims to showcase ways math plays into music, sports, movies, games and more. How often do you think about math in ...

For Image Super-Resolution (SR), it is common to train and evaluate scale-specific models composed of an encoder and upsampler for each targeted scale. Consequently, many SR studies encounter ...

A.I.’s math problem reflects how much the new technology is a break with computing’s past. By Steve Lohr In the school year that ended recently, one class of learners stood out as a seeming puzzle.