Antimicrobial resistance is a major problem. Infections caused by bacteria, fungi, and viruses that have evolved ways to ...
A new imaging breakthrough combines ultrasound and light-based techniques to generate vivid 3D images that show both tissue ...
Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...
Rusty bolts are one of those small home issues that feel incredibly annoying, especially when the bolt itself won't budge from where it's installed. When you realize the bolt head is covered in rust, ...
Bovine mastitis, a prevalent disease causing substantial economic losses in dairy production, requires accurate and robust detection methods. Traditional threshold-based approaches using electrical ...
Abstract: This systematic literature review explores various machine learning (ML) approaches for the classification of wheat rust diseases, a significant threat to global food security. With the ...
AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
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