Abstract: Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend ...

@article{Sawhney:2020:MCG, author = {Sawhney, Rohan and Crane, Keenan}, title = {Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal of Materials Science and Chemical Engineering, 13, 128-154. doi: ...

This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...

Researchers uncovered 53 genetic loci linked to quantitative ability, distinguishing it from general intelligence and non-cognitive skills. The study highlights brain pathways in axon guidance, ...

Based at the University of Bristol, Children of the 90s, also known as Avon Longitudinal Study of Parents and Children (ALSPAC), is a world-leading birth cohort study. Between April 1991 and December ...

The second printing contains a critical discussion of Dirac derivation of canonical quantization, which is instead deduced from general geometric structures. This book arises out of the need for ...