IEEE

A Bayesian Inferred Health Prognosis and State of Charge Estimation for Power Batteries

Abstract: Lithium-ion batteries serve as vital power sources across various industrial sectors, necessitating accurate modeling and state monitoring via battery management systems to ensure reliable ...
GitHub

Any6D: Model-free 6D Pose Estimation of Novel Objects

We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...
marktechpost

A Coding Implementation to Build a Conditional Bayesian Hyperparameter Optimization Pipeline with Hyperopt, TPE, and Early Stopping

In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...
Frontiers

Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints

Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...
IEEE

Real-Time Detection of Myocardial Infarction Onset Using Communication Network-Enabled Recursive Bayesian Updating

Abstract: Myocardial infarction (MI) is one of the leading cardiovascular pathologies that often result in mortality. One of the methods to improve patient outcomes and lower mortality in MI ...