Abstract: Dilated convolution, which expands the receptive field by inserting gaps between its consecutive elements, is widely employed in computer vision. In this study, we propose three strategies ...

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 ...

Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia School of Public Health and Preventive Medicine, Monash ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

With rapid improvements in AI, things are quickly moving away from AI chatbots to action-driven AI agents. AI agents are ready to change our everyday lives and how we interact with services. They ...

Abstract: Tensor convolution is important for feature extraction of high-dimensional data in realistic scenarios to obtain fine, high-dimensional features. Photonic convolution in the synthesis ...

Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, ...