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 ...
IEEE

RaySHapke: A Bayesian Inversion Analysis of Lunar Surface Parameters Utilizing the Hapke Model Based on the Raytracing Shadowing Function

Abstract: The Moon’s distinctive spatial weathering environment and the internal dynamics of its evolutionary process have produced intricate lunar characteristics that make remote sensing data ...
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 ...
SciELO

Predicting bond strength between steel reinforcement and concrete materials using machine learning with Bayesian optimization techniques

Predicting the adhesive force between steel reinforcement and concrete is crucial as it influences stress distribution and the overall mechanical behavior of reinforced concrete. This study proposes a ...