Why Large Hadron Collider predictions can miss the mark, and a new way to fix it

Estimating things that exist is generally easy, but when it comes to estimating things that do not exist, it's more difficult. This is something physicists from Poland and the UK are well aware of. To ...
IEEE

Parameter Identification for Inverse Scattering Problem of Electrically Large Curved Surfaces

Abstract: Inverse scattering problems (ISPs) often suffer from severe ill-posedness and nonlinearity. In this article, a parameter identification method that determines the necessary conditions of ...
IEEE

Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data

Abstract: This work presents a methodology to estimate tire parameters and their uncertainty using a Bayesian optimization approach. The literature mainly considers the estimation of tire parameters ...
PNAS

Cryo-EM heterogeneity analysis using regularized covariance estimation and kernel regression

Reconstructing the diverse conformations of biomolecules from cryoelectron microscopy datasets remains a longstanding challenge. Here, we present a method that surpasses current approaches across ...