Abstract: This paper exploits the potential of edge intelligence empowered satellite-terrestrial networks, where users’ computation tasks are offloaded to the satellites or terrestrial base stations.
Abstract: With the continuous development of the power system, in the face of the frequency deviation caused by the randomness and volatility of renewable energy sources such as photovoltaic and wind ...
Abstract: Remote sensing images are usually characterized by complex backgrounds, scale and orientation variations, and large intraclass variance. General semantic segmentation methods usually fail to ...
Abstract: The theory of the diffraction grating pair is developed by expanding the frequency dependence of the phase shift as far as the quadratic frequency term. The analogy between pulse compression ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6979 ...
Abstract: In this article, an integral reinforcement learning (IRL) method is developed for dynamic event-triggered nonzero-sum (NZS) games to achieve the Nash equilibrium of unmanned surface vehicles ...
Abstract: Weakly supervised semantic segmentation has witnessed great achievements with image-level labels. Several recent approaches use the CLIP model to generate pseudo labels for training an ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...
Abstract: This brief presents a resolution-reconfigurable successive-approximation-register (SAR) analog-to-digital converter (ADC). The reconfigurable capacitor digital-to-analog converter (CDAC) is ...
Abstract: The construction of channel gain map (CGM) is essential for realizing environment-aware wireless communications expected in 6 G, for which a fundamental problem is how to predict the channel ...
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