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: 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: 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: 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 ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6287639 ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=8 ...

Abstract: Image fusion can be conducted at different levels, with pixel-level image fusion involving the direct combination of original information from source images. The objective of methods falling ...

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 investigates the prescribed performance control (PPC) issue in nonlinear systems involving actuator hysteresis, sensor fault, and unavailable states. Firstly, an inverse model is ...