Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6488907 ...
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: In the fifth-generation (5G) era, eliminating communication interference sources is crucial for maintaining network performance. Interference often originates from unauthorized or ...
Abstract: In recent years, significant progress has been made in self-supervised seismic denoising. However, most of these methods focus on random noise attenuation, which is of little practical use ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...
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: To achieve high-quality and high-resolution image processing, this work presents a novel vision processor that facilitates deep learning-enhanced image processing pipelines. At the system ...
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: 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: 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 ...
Abstract: Earth Observation (EO) data analysis has been significantly revolutionized by deep learning (DL), with applications typically limited to grid-like data structures. Graph Neural Networks ...