Abstract: Infrared small target detection (ISTD) boasts extensive applications across civil and military domains, owing to its exceptional all-day performance. Neural network innovations have led to ...

Abstract: Satellite communication offers the prospect of service continuity over uncovered and under-covered areas, service ubiquity, and service scalability. However, several challenges must first be ...

Abstract: The author was led to the study given in this paper from a consideration of large scale computing machines in which a large number of operations must be ...

Abstract: This review examines the ethical, social, and technical challenges posed by AI-generated text tools, focusing on their rapid advancement and widespread adoption. An exhaustive literature ...

Abstract: Charge management is a critical technology for space-based gravitational wave detection, where the controllability of ultraviolet (UV) light plays a key role in determining performance.

Abstract: Weakly supervised point cloud semantic segmentation has attracted more and more attention due to its capability to circumvent the time-consuming and expensive full labeling annotation ...

Abstract: Autonomous flight in unknown, cluttered environments is still a major challenge in robotics. Existing obstacle avoidance algorithms typically adopt a fixed flight velocity, overlooking the ...

Abstract: As the new generation of power systems, cyber-physical power systems (CPPSs) become more intelligent and convenient with the application of communication networks. However, the existence of ...

Abstract: Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multiturn dialog, enabling an interactive understanding of images. However, it is ...

Abstract: Low-light image enhancement (LIE) aims to restore images taken under poor lighting conditions, thereby extracting more information and details to robustly support subsequent visual tasks.

Abstract: Soft open points (SOPs) are power electronic devices placed at normally open points of electricity distribution networks. With millisecond-level control, SOPs are promising in constraint ...

Abstract: Local and global spectral and spatial information is crucial for hyperspectral image (HSI) classification. However, modeling the global context has been challenging due to the limitations of ...