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OutPyR: Bayesian inference for RNA-Seq outlier detection
Published 2020“…</p><p dir="ltr">We present a Bayesian model (OutPyR) for identifying abnormal RNA-Seq gene expression counts in datasets, particularly those with a small number of samples. …”
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Bayesian Analysis of Masked Competing Risks Data Based on Proportional Subdistribution Hazards Model
Published 2022“…The Markov Chain Monte Carlo (MCMC) technique is utilized to implement the Bayesian analysis. The effectiveness of the developed model is tested via numerical studies, including simulated and real data sets.…”
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A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times
Published 2023“…Markov chain Monte Carlo (MCMC) technique is employed for the implementation of the Bayesian approach. The effectiveness of the proposed approach is illustrated with simulated and production engineering applications. …”
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Adoption of blockchain technology in healthcare systems: benefits, potential applications, and challenges
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Design Principles of Large Cation Incorporation in Halide Perovskites
Published 2021“…Finally, we present the automated search of the minimum enthalpy of mixing by implementing Bayesian optimization over the compositional search domain. …”
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A novel approach to collision hotspot identification accounting for regression to the mean and trend
Published 2015“…<p dir="ltr">This research considers a Bayesian analysis of crash data in an attempt to predict, from a group of potential collision hotspot sites, which of these sites could benefit from treatment with a road safety scheme. …”
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Measuring the Acoustic Release of a Chemotherapeutic Agent from Folate-Targeted Polymeric Micelles
Published 2018“…In this paper, we compare the use of Bayesian filters for the estimation of release and reencapsulation rates of a chemotherapeutic agent (namely Doxorubicin) from nanocarriers in an acoustically activated drug release system. …”
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Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
Published 2021Get full text
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Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Published 2015“…This paper also discusses the cognitive radio implementation and the learning challenges foreseen in cognitive radio applications.…”
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Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…In addition, three distinct optimization techniques are used to find the optimum ANN training algorithm: Levenberg–Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient. …”
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Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty
Published 2025“…The ETR-GBM consistently outperforms the individual models (ETR, LightGBM, XGBoost, CatBoost, Support Vector Regression (SVR), Random Forest (RF), and Bayesian) when noise is added to the training dataset. …”
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Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis...
Published 2021“…We completed systematic reviews and did Bayesian meta-regressions for 36 causally linked health outcomes to estimate non-linear dose-response risk curves for current and former smokers. …”
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Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Published 2024“…Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40–1·92) in 2050 and 1·62 (1·35–1·95) in 2100. …”
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