Results 151 to 160 of about 116,111 (309)
Laser &Photonics Reviews, EarlyView.This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
wiley +1 more source
Markov chain-based turnout state prediction and lifespan simulation. [PDF]
Sci RepWu Z, He W, Wu Z, Gu S, Li C, Guo J.
europepmc +1 more source
Quantifying the 'end of history' through a Bayesian Markov-chain approach. [PDF]
R Soc Open Sci, 2022 Klimm F.
europepmc +1 more source
Movement Disorders Clinical Practice, EarlyView.Abstract Background and objectives Caregivers of progressive supranuclear palsy (PSP) patients frequently show significant distress. The Parkinsonism Carers quality of life (QoL) (PQoL Carer) is a valid tool evaluating the effect of PSP on caregivers' QoL.
Arianna Cappiello +73 more
wiley +1 more source
Quantum annealing enhanced Markov-Chain Monte Carlo. [PDF]
Sci RepArai S, Kadowaki T.
europepmc +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
The Learning Rate Is Not a Constant: Sandwich-Adjusted Markov Chain Monte Carlo Simulation. [PDF]
Entropy (Basel)Vrugt JA, Diks CGH.
europepmc +1 more source
A continuous-time Markov chain model of fibrosis progression in NAFLD and NASH. [PDF]
Front Med (Lausanne), 2023 Meyer LF, Musante CJ, Allen R.
europepmc +1 more source
Analysis about Partner Selection for Innovation Alliance Based on Markov Chain
, 2011 Sun Zhao-gang
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On the Mean‐Field Limit of Consensus‐Based Methods
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source