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

Discover 15 future-proof skills that AI can't replace, from data analysis to emotional intelligence, ensuring your career stays relevant.

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable Artificial Intelligence (CXAI) software startup, was awarded 25 million dollar sole-source contract from US Air Force. The ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

Abstract: Traditional investment efficiency evaluation methods have problems such as low accuracy, slow response speed, and static analysis in terms of multi-dimensional feature processing, dynamic ...

AI-powered drones are now scanning minefields in Ukraine at a pace that manual survey teams cannot match, with one company ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of electrical equipment. However, the noise the data carries during cyclic aging ...

High-resolution magnetic resonance vessel wall imaging (HR-VWI) is an advanced MR imaging technique that can directly visualize intracranial vessel walls and detect subtle pathological changes. HR-VWI ...

Abstract: The prediction of smart grid (SG) stability holds essential importance for ensuring reliable grid operation under changing unpredictable conditions. The accurate prediction of grid stability ...