1 Dual Analytics, Geistthal-Södingberg, Austria. 2 Chair of Mathematics and Statistics, Montanuniversität Leoben, Leoben, Austria. 3 Materials Center Leoben Forschung GmbH, Leoben, Austria. 4 ...

Bayesian filtering provides a principled framework for estimating the hidden dynamics of a system from noisy or incomplete observations. At its core lies the recursive computation of a posterior ...

(a) Ramsey interferometry with a GHZ state using parity measurement; (b) Ramsey interferometry with a GHZ state using one-axis twisting interaction-based readout; (c) a Bayesian estimation process ...

ABSTRACT: In the context of climate change and rapid urbanization, Beninese cities like Bohicon are increasingly exposed to frequent flooding. Estimating design flows for hydraulic drainage systems ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...

Bayesian SSH transforms your SSH experience with intelligent automation: ...

This study explores the efficacy of Bayesian estimation in modeling the orientation and direction selectivity of neurons in the primary visual cortex (V1). Unlike traditional methods such as least ...

A research team has developed a new technique to rapidly and accurately determine the charge state of electrons confined in semiconductor quantum dots -- fundamental components of quantum computing ...