Motor imagery (MI) is one of the most widely used paradigms in electroencephalogram (EEG)-based brain–computer interfaces (BCIs). In recent years, deep learning and transfer learning techniques have ...

Computational molecular docking screening of bioactive compounds from endemic Chilean species (Vasconcellea pubescens, Leptocarpha rivularis) against pharmacologically relevant targets for type 2 ...

Abstract: This research presents a novel diffusion-based cGAN framework for the automated optimization of 2D skeletal structures with Eurocode 3-compliant steel Circular Hollow Section (CHS) ...

U(z, H_t) = θ₁·d(z, Z_{t-1}^opp) # lag-1 cross-color distance + θ₂·d(z, Z_{t-2}^own) # lag-2 same-color distance + θ₃·Δown(z, Z_{t-1}) # own-density diff ...

Probabilistic programming has emerged as a powerful paradigm for constructing and analysing statistical models by combining the expressiveness of modern programming languages with the rigour of ...

Moment inequalities form a core component of modern econometric analysis, allowing researchers to derive bounds on parameters when full identification is infeasible. Rather than relying on exact ...

Abstract: Thin and elongated filamentous structures, such as microtubules and actin filaments, often play important roles in biological systems. Segmenting these filaments in biological images is a ...