Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Unsupervised machine learning, combined with the analysis of earthquake sequences as interacting events, can help identify precursor signals that may occur before earthquakes. Credit: Shutterstock A ...

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

A smartwatch can tell us the level of oxygen in our blood, when our sleep is restless or the number of steps we take in a day ...

Pano AI is revolutionizing wildfire detection with AI-powered cameras and human oversight, protecting communities across 17 ...

Advances in analytical chemistry are improving food safety. From mass spectrometry to machine learning and biosensors, ...

An internal argument is brewing throughout the auto world over the ultimate approach for autonomous driving: should ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

Abstract: This research examines anomaly detection in cybersecurity by utilizing various machine learning classifiers, including Naive Bayes, Artificial Neural Network (ANN), Support Vector Machine ...

A full-stack web application that uses deep learning to detect and classify plant diseases from leaf images. Built with Next.js, React, TailwindCSS on the frontend and Flask, TensorFlow on the backend ...

Abstract: Phishing attacks have grown into a widespread threat to cybersecurity, exploiting the rapid growth of the internet and digital resources. These attacks typically mislead victims into ...

WASHINGTON, June 4 (Reuters) - President Donald Trump said on Thursday he is directing ‌hundreds of millions of dollars to support U.S. coal power plants and to ship the carbon-intensive fuel to Asia, ...