A new study published in Translational Psychiatry has found that post-traumatic stress disorder is associated with ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

Abstract: Automatic weapon detection in surveillance systems, increasing the safety of public areas. In this work, a deep-learningdetection method is presentedthat focuses on real-time performance. A ...

Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, resource-intensive simulations. Researchers at Chungnam National University have ...

Forensic science has long held that fingerprints are singular identifiers, unique to each finger and each individual. This assumption has formed the backbone of global law enforcement, identity ...

Abstract: Precisely detecting masked and non-masked faces are increasingly important since wearing a face mask is an effective measure to prevent the spread of the COVID-19 pandemic. Previous ...

ABSTRACT: License Plate Recognition (LPR) systems face significant challenges when deployed in real-world environments that differ from their training data, due to variations in angle, resolution, ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...