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: Coordinated navigation of an arbitrary number of robots to an arbitrary number of goals is a big challenge in robotics, often hindered by scalability limitations of existing strategies. This ...
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 ...
Book Abstract: This comprehensive guide offers a detailed treatment of the analysis, design, simulation and testing of the full range of today's leading delta-sigma data converters. Written by ...
Abstract: In recent years, deep learning achieves significant advancements in medical image segmentation. Research finds that integrating Transformers and CNNs effectively addresses the limitations of ...
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: 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 ...
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: Efficient and accurate thermal prediction is important for the optimal design of HFTs. The configuration of HFTs is typically non-rotationally symmetrical. A three-dimensional (3D) finite ...
Abstract: Generative tasks, such as text generation and question answering, are essential for mobile applications. Given their inherent privacy sensitivity, executing them on devices is demanded.
Abstract: As the Editor-in-Chief of the IEEE Transactions on Network Science and Engineering (TNSE) from 2021 to 2024, it is my distinct pleasure to reflect on the tremendous progress we have made ...