Plants in their natural environments rarely face a single type of stress. Instead, they experience overlapping or sequential abiotic stresses—such as ...
To address the engineering challenge of detecting fine cracks on hybrid wind turbine towers, especially against complex water seepage backgrounds, this study aims to explore optimal image segmentation ...
Library implementations of the Scenario-based Model Predictive Control Algorithm (SB-MPC) and its probabilistic variant (PSB-MPC). Developed as part of the NTNU Centre for Autonomous Marine Operations ...
Abstract: Composite power system reliability evaluation using Monte Carlo simulation often suffers from high computational cost due to the difficulty in capturing rare loss-of-load states. To address ...
Researchers taking the first-ever direct measurement of atom temperature in extremely hot materials inadvertently disproved a decades-old theory and upended our understanding of superheating. It's ...
A groundbreaking new method developed at the University of Osaka calculates the entropy of liquids using a non-empirical approach, requiring only the atomic species as input. The paper is published in ...
Abstract: This study proposes theories and applications of probabilistic divergences to neural network training. This theory generalizes the cross-entropy method for backpropagation to the ...
ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results