Abstract: The potential of wide-field magneto-optical Kerr microscopy for the characterisation of low-dimensional van-der-Waals crystals is explored using the example of Cr2Ge2Te6 flakes in the ten ...
Abstract: In the fifth-generation (5G) era, eliminating communication interference sources is crucial for maintaining network performance. Interference often originates from unauthorized or ...
Abstract: Microwave probes typically have two or more pins, and planarization is crucial in wafer testing. This study examines the planarization of microwave probes and determines the probe’s rotation ...
Abstract: Recently, multi-modal large language models (MLLMs) have shown excellent reasoning capabilities in various fields. Most of the existing remote sensing MLLMs solve image-level text generation ...
Abstract: This article presents an adaptive neural network control scheme with prescribed performance for stochastic nonlinear systems. Unlike existing adaptive stochastic control schemes that ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7361 ...
Abstract: This paper proposes a distributed passivity-based bilateral teleoperation control for optimizing the velocity/force manipulability of the coordinated remote redundant manipulators during the ...
Abstract: Low-cost strapdown inertial sensors have been in-creasingly applied to navigation and positioning in the Internet of Things (IoT) devices in recent years. The initial alignment accu-racy of ...
Abstract: In this study, to address the issues faced by mobile robots in complex environments, such as sparse rewards caused by limited effective experience, slow learning efficiency in the early ...
Abstract: The Space-Air-Ground integrated network (SAGIN) has gained significant attention due to the explosive growth in mobile data traffic. In this network, Unmanned Aerial Vehicles (UAVs) play a ...
Abstract: The search for multiple optimal solutions in the traveling salesman problem (TSP), as a challenging multimodal optimization problem in the combinatorial domain, has received increasing ...
Abstract: Vision foundation models have shown great potential in improving generalizability and data efficiency, especially for medical image segmentation since medical image datasets are relatively ...