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: 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: 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: The development of 6G networks represents a groundbreaking leap in mobile communication, targeting the creation of an Intelligent Network of Everything that seamlessly integrates advanced ...

Abstract: Imaging using S-wave seismic data based on elastic media holds the potential to address certain critical issues that conventional P-wave imaging cannot resolve, thereby offering new ...

Abstract: In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating multimedia.

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: Large language models (LLMs) have shown great success in content generation and intelligent intelligent decision-making for IoT systems. Traditionally, LLMs are deployed on the cloud, ...

Abstract: In today’s fast-paced software development environment, Agile methodologies demand rapid delivery and continuous improvement, making automated testing essential for maintaining quality and ...

Abstract: Safety and data efficiency are important concerns in data-driven control, especially for nonlinear systems with unknown dynamics and subject to disturbances. In this work, we consider a ...

Abstract: The stability issues of DC microgrids (DCmGs) are becoming increasingly important due to the widespread deployment of renewable distributed energy resources (DERs), which has led to a ...