Abstract: Gunshot detection has been applied in fields such as defense and forensic sciences. This plays a very critical role in law enforcement and public safety. Detecting a gunshot begins with ...

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 ...

Abstract: Aiming at the problem of the poor cell image segmentation accuracy of traditional segmentation method, this paper introduces a supervised machine learning approach- convolutional neural ...

This method uses a 1-D causal convolution strategy with a residual learning framework to perform dilated causal convolutions. The simulation studies of the proposed TCN-based identification-scheme are ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...