University of Kaiserslautern

BAASNet: boundary-aware deep learning for accurate polyp segmentation in colonoscopy

Abstract Colorectal polyps are primarily detected through colonoscopy, which plays a central role in early cancer prevention. Precise polyp segmentation supports treatment planning and diagnostic accuracy by providing masks that encode clinically relevant structures. Recent advan...

The Effects of Structural Conditions on Sectoral Productivity in South, East and South East Asia

Abstract The debate over the IMF’s conditions for international lending has been ongoing since its inception, with growing concerns about its imposition on developing countries, particularly since the 1980s. In addition to assessing their normative influence, a critical focus is...

Energy-efficient lot-sizing in grid-connected production with on-site renewables and limited energy storage

Abstract Sustainable energy technologies and efficient energy usage are important drivers for reducing greenhouse gas emissions. The manufacturing industry, with its high energy consumption, is particularly important. Integrated energy-oriented production planning becomes essenti...