PReMM, an LLM-based program repair framework for Multi-Method Bugs. PReMM builds on three core components: the faulty method clustering component to partition the faulty methods into clusters based on ...

Abstract: This paper addresses the problems of low accuracy and poor adaptability to complex scenes in traditional remote sensing object classification methods, and proposes a remote sensing object ...

Abstract: In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between ...