Scientists may have found a new way to detect some of the universe's most mysterious objects, primordial black holes (PBHs), ...

Hardware Trojans Detection Using GNN in RTL Designs” was published by researchers at University of Connecticut and University of Minnesota. Abstract “hip manufacturing is a complex process, and to ...

In a new study, researchers demonstrated long-term, non-invasive monitoring of blood sodium levels using a system that ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Background: Early detection of adverse events and their management are crucial to improving anticancer treatment outcomes, and listening to patients’ subjective opinions (patients’ voices) can make a ...

The mentioned two tests are identified as key blood markers for detecting hidden inflammation and potential heart issues, ...

Nanoprobe-based biosensors have emerged as a promising alternative to conventional analytical methods, offering advantages in rapid detection, cost-effectiveness, and no need for professional ...

This is the first example of a diagnostic test using sugars to detect snake venom in a rapid detection system. It builds on previous work at the Warwick research group using a glyconanoparticle ...

This paper researches the application of stochastic resonance theory in weak underwater acoustic signal detection, and derives the conditions to maximum switching rate of bistable system. Considering ...

When a cancer signal was detected in the first test, reflex testing was completed. The reflex testing had 98.3% specificity. The conventional sensitivity was 43.4%.

Despite significant strides in traffic sign detection, effective solutions remain elusive. Traditional models often struggle with low detection accuracy and inefficiency, particularly when dealing ...