Abstract: With previously unattainable performance metrics like terabit-per-second data rates, extremely low latency, and ubiquitous coverage, the next sixth-generation (6G) wireless communication ...
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 this paper, integrated scheme of enhanced vibration-sensing and digital subcarrier multiplexing (DSCM) communication based on frequency-domain pilot tones (FPTs) is proposed and ...
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: 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: This paper describes the methods employed in the floating-point area of the System/360 Model 91 to exploit the existence of multiple execution units. Basic to these techniques is a simple ...
Abstract: This article presents an adaptive neural network control scheme with prescribed performance for stochastic nonlinear systems. Unlike existing adaptive stochastic control schemes that ...
Abstract: The existing piezoelectric actuators (PEA) are difficult to increase the speed, and the cross-scale dual-stage precision drive technology usually adopts the tandem transmission configuration ...
Abstract: Clustering ensemble has been widely studied in data mining and machine learning. However, the existing clustering ensemble methods do not pay attention to fairness, which is important in ...
Abstract: This paper presents a control-oriented thermal model for a novel heating, ventilation, and air conditioning (HVAC) system with a heat pump designed specifically for battery electric vehicles ...
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 ...