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 FBI is deploying Bluetooth "signal sniffer" technology in a bid to detect the pacemaker of Savannah Guthrie's missing mother, Nancy, RadarOnline.com can reveal. According to Fox News, the Pima ...
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 ...
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 ...
Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
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