Semantic segmentation of remote sensing images encounters four significant difficulties: 1) complex backgrounds, 2) large-scale differences, 3) numerous small objects, and 4) extreme foreground–background imbalance.However, the existing generic semantic segmentation models mainly focus on the modeling context information and rarely focus on
Automatic Text Summarization (ATS) systems aim to generate concise summaries of documents while preserving their essential aspects using either extractive or abstractive approaches.Transformer-based yale law school colors ATS methods have achieved success in various domains; however, there is a lack of research in the historical domain.In this pape
Deep space missions are recently gaining increasing interest from space agencies and industry, their maximum exponent being the establishment of a permanent station in cis-lunar orbit within this decade.To that end, autonomous rendezvous and docking in multi-body dynamical environments have been defined as crucial technologies to expand and the gel
BackgroundManagement of patients with refractory congestion, is one of the most important challenges in the field of heart failure (HF).Diuretic therapy remains the most widely used therapy to achieve euvolemia.However, some patients experience fluid overload despite the use of high-dose diuretics and new strategies to overcome diuretic resistance