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Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2018.07.056
Abstract: &NA; In this paper, we present a novel hierarchical multiscale Bayesian algorithm for electromagnetic brain imaging using magnetoencephalography (MEG) and electroencephalography (EEG). In particular, we present a solution to the source reconstruction problem for sources…
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Keywords:
bayesian algorithm;
source;
algorithm;
meg eeg ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2617488
Abstract: The purpose of this study was to assess e-learning during Corona epidemic regarding advantages, limitations, and their recommendations for managing learning during the epidemic. Based on a case study, this study used qualitative research. Sixteen…
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Keywords:
university;
algorithm based;
education;
distance education ... See more keywords
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Published in 2019 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280218776685
Abstract: Timely detection of the seasonal influenza epidemic is important for public health action. We introduce FluHMM, a simple but flexible Bayesian algorithm to detect and monitor the seasonal epidemic on sentinel surveillance data. No comparable…
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Keywords:
influenza surveillance;
surveillance;
bayesian algorithm;
simple flexible ... 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