Abstract: Low-latency communication plays an increasingly important role in delay-sensitive applications by ensuring the real-time information exchange. However, due to the constraint on the maximum ...
Abstract: Cooperative search is a fundamental task for the unmanned aerial vehicles (UAVs), and cognitive maps are necessary resources for the entire search process. However, due to the limited ...
Abstract: Autonomous berthing is the last crucial step in achieving full autonomy for unmanned surface vehicles (USVs). It can be transformed into a trajectory-tracking problem. A novel autonomous ...
Abstract: In this study, we proposed an enhanced mode P-GaN/AlGaN/GaN metal-insulator-semiconductor high electron mobility transistors (MIS-HEMTs) by combining thermal oxidation treatment of P-GaN ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...
Abstract: The thriving domain of the Internet of Bio-Nano Things (IoBNT) promises revolutionary advances in biomedicine, enabling biosensing, health monitoring, and therapeutic capabilities at the ...
Abstract: During the investigation of amorphous oxide semiconductor thin film transistors (TFTs), researchers found that TFTs containing a heterostructure-channel demonstrate exceptional mobility.
Abstract: Passive indoor localization is emerging as a transformative technology in consumer electronics, notably improving applications in smart buildings, indoor navigation, and dynamic beamforming.
Abstract: Object detection is critical for autonomous vehicles. It enables safe and efficient autonomous driving. However, variations in weather conditions, such as night, fog, rain, and snow, ...
Abstract: Multimodal image matching is essential in image stitching, image fusion, change detection, and land cover mapping. However, the severe nonlinear radiometric distortion (NRD) and geometric ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7361 ...
Abstract: Although weakly-supervised techniques can reduce the labeling effort, it is unclear whether a saliency model trained with weakly-supervised data (e.g., point annotation) can achieve the ...