Abstract: Aiming at the large bias of LSE (Least Squares Estimation) in estimating MTBF (mean time between failures) under a small sample of data, a Bayesian MTBF estimating method is proposed for NC ...

Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...

Abstract: A class of iterative Bayesian estimation methods known as Type I methods use a variational representation of the posterior distribution. However, Type I methods can exhibit slow convergence ...

Solar filaments are vast clouds of relatively cool plasma, often stretching across enormous distances, held aloft by complex magnetic fields.

Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...

A new study by astronomers has unveiled a powerful method to estimate the hidden physical properties of solar filaments by analysing their oscillations, offering deeper insights into the Sun’s ...

Detection decisions (red for absence, blue for presence) are based on the disjunctive integration rule (disjunction and negation of disjunction). Confidence decisions (dashed line for not sure, full ...

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores the urgent need to scale up newborn and early childhood screening, ...

Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...

A fossil found in northern Egypt is shaking up what scientists thought they knew about our origins. Named __Masripithecus ...