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 ...
Nature

Latent Variable Modeling and Estimation Techniques

Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...
Scientific Research Publishing

On the Utility of Pose Estimation Models for Golf Swing Understanding ()

Pose Estimation, Golf Swing Analysis, Computer Vision, YOLO Pose, MediaPipe Pose, Sports Analytics, OKS Metric, Human Motion Analysis Share and Cite: Yuan, A. and Ndongmo, B. (2026) On the Utility of ...
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 ...