However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are ...

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

aLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA bCancer Data Science Laboratory, Center for Cancer Research, National ...

Abstract: With the rapid development of Natural Language Processing technology and the growing demand for efficient information retrieval in the computer field, query optimization tasks have become an ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

This ensures that a "win" is only counted if it is both statistically significant and practically relevant, providing a robust and nuanced ranking system.

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...