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 ...
Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...
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 ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
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