David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
Abstract: In today's cities, maintaining road safety and enforcing traffic laws are major concerns. This research introduces an automated system that uses Machine Learning to identify helmet use and ...
Andres B. Sanchez Alvarado participated in research into combining spectroscopy and ML to analyze complex samples, which has a patent pending. Across the U.S., hundreds of sites on land or in lakes ...
The saliva circulating in your mouth contains troves of microbial information about the rest of your body and is easier to collect than blood samples. Today, a few drops of spit can help detect ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...
A key highlight of IRP v4.3 is the introduction of Automatic Anomaly Detection (AAD) - a new capability designed to identify abnormal traffic behavior and mitigate threats directly at the network edge ...
Abstract: Automatic detection of helmet for motorcyclists from real-time surveillance videos is a rising application in computer science. Object detection and classification using deep learning was ...
Helmets and hard hats reviewed for emergency head protection readiness. Unprecedented and unconstitutional: AG rejects Trump’s pardon Hundreds of tourists stranded on remote island as troops are ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...