Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
Researchers from three Fraunhofer institutes are developing a mobile gas chromatography sensor system to help detect counterfeit food products, like olive oil. According to its developers, the easy-to ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Scale And Tactics Of Food CrimeFood crime often goes unreported, which makes its scale hard to measure, yet one 2025 estimate puts the cost to the global ...
Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...
A new study co-authored by MaryAnn Demchak, Ph.D., professor of special education at the University of Nevada, Reno, and Brianna Grumstrup, Ph.D., assistant professor of special education at the ...
In the digital age of 2025, credit card fraud remains a significant concern for retail banking, spurring the adoption of advanced machine learning models designed to combat fraud in real-time. These ...
Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian 350117 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results