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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3271134
Abstract: The industrial field faces the problem of process optimization by finding the factors affecting the yield of the process and controlling them appropriately. However, due to limited resources such as time and money, optimization is…
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Keywords:
bayesian optimization;
safety;
evaluation budget;
exploration ... See more keywords
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Published in 2020 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2019.2916722
Abstract: This paper explores a Bayesian update strategy applying the experts’ subjective viewpoints concerning the wind turbines’ preventive maintenance. The approach is general enough to be employed in other than wind turbine maintenance applications. Although extant…
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Keywords:
reliability networks;
maintenance;
approach;
adaptive bayesian ... See more keywords
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Published in 2021 at "Optics express"
DOI: 10.1364/oe.431334
Abstract: Bayesian methods that utilize Bayes' theorem to update the knowledge of desired parameters after each measurement are used in a wide range of quantum science. For various applications in quantum science, efficiently and accurately achieving…
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Keywords:
adaptive bayesian;
bayesian algorithm;
algorithm;
transition ... See more keywords
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Published in 2023 at "Micromachines"
DOI: 10.3390/mi14030594
Abstract: The performance of wireless networks is related to the optimized structure of the antenna. Therefore, in this paper, a Machine Learning (ML)-assisted new methodology named Self-Adaptive Bayesian Neural Network (SABNN) is proposed, aiming to optimize…
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Keywords:
neural network;
wireless networks;
bayesian neural;
antenna ... See more keywords