Results 141 to 150 of about 985 (214)

Conditional stability of HY5 through the ATE N-degron pathway regulates environmental responses in Arabidopsis thaliana

open access: yes
Dambire C   +7 more
europepmc   +1 more source

How Does Our Degrading System Perform?

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT We discuss the quality of performance of degrading systems when degradation is modeled by a stochastic process with independent increments and increasing sample paths. As an example, the gamma process is considered. First, for the continuously observed degradation, by comparing with the black‐box scenario (without observing degradation), the ...
Maxim Finkelstein   +2 more
wiley   +1 more source

Brown–Proschan Repair Policy for Repairable Systems Using the Discrete Weibull Failure Distribution and Markov Chains

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT A repairable system operates under a maintenance strategy involving scheduled preventive maintenance (PM) and corrective repair actions following failures. This study develops an exact analytical methodology using Markov chains with discrete states and time to calculate the expected number of failures E[N(t)]$\mathop {\mathbb {E}}[N(t)]$ under
Danilo G. O. Valadares   +3 more
wiley   +1 more source

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani   +1 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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