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

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 ...

Abstract: Human Activity Recognition (HAR) using Wi-Fi Channel State Information (CSI) is a promising device-free, noninvasive sensing approach. This study compares deep learning architectures, ...

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 ...

Abstract: This research converges on the motion planning algorithm of industrial robots based on deep learning. During the research process, a dataset encompassing a vast number of industrial robot ...