Abstract: Has the day we all have been waiting for really arrived? Have advances in deep learning and machine learning (ML) finally reached a turning point and have started to produce “accurate enough ...

Ethical concerns, including privacy risks and model hallucination, alongside regulatory fragmentation, were critical barriers to clinical adoption. Conclusions: LLMs hold transformative potential for ...

Abstract: Recently, deep learning (DL) models have become the main focus for the remote sensing change detection tasks. Numerous publications on supervised and unsupervised DL-based change detection ...