Nature

A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation

Experimental data and mathematical models are beginning to take equal billing in systems biology. Experimental observations without a framework in which to link them offer researchers only limited ...
EurekAlert!

A novel SOC estimation model: combining machine learning and Kalman filtering

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...
Risk

Loss given default estimation: a two-stage model with classification tree-based boosting and support vector logistic regression

The Basel Accords allow banks to estimate credit risk. Accordingly, more attention has been dedicated recently to the analysis of loss given default (LGD) and the development of an LGD estimation ...
Tech Xplore on MSN

DGIST develops ‘physical AI-based vehicle state estimation technology’ to enhance electric vehicle’s driving safety

Precise real-time analysis of vehicle slip conditions through international joint research... expected to enhance the safety of autonomous driving and electric vehicles. - Research results, published ...