IEEE

Modeling Small-Signal Stability Constraints in Optimal Power Flow Using a Bayesian Optimization Framework

Abstract: This paper presents a Bayesian optimization-based framework for incorporating small-signal stability constraints into the optimal power flow (OPF) problem. First, a mathematical optimization ...
IEEE

Modeling Spectral LED Degradation Using an Unsupervised Machine Learning Approach

Abstract: The modeling of spectral characteristics of light-emitting diodes (LED) has been addressed in various studies. We extend the current state of knowledge by modeling the spectral ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...
Frontiers

Modeling Person Guessing as a Random Effect: A Bayesian Approach of the Two-Parameter Logistic Model

The final, formatted version of the article will be published soon. Guessing behavior has been an enduring problem that undermines the validity and interpretability of scores from MC items. The ...