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 ...

ABSTRACT: NILM (Nonintrusive Load Monitoring) or appliance recognition software that uses algorithms, namely Hidden Markov Model (HMM) and Factorial HMM, to detect changes in electricity values ...

(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 ...

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 ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

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

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...

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 ...