Results 11 to 20 of about 12,092,915 (236)
Evaluation of elicitation methods to quantify Bayes linear models [PDF]
, 2010 The Bayes linear methodology allows decision makers to express their subjective beliefs and adjust these beliefs as observations are made. It is similar in spirit to probabilistic Bayesian approaches, but differs as it uses expectation as its primitive ...
T Bedford +5 more
core +4 more sources
Applying Bayes linear methods to support reliability procurement decisions [PDF]
, 2008 Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Bedford, Tim +3 more
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Bayes linear kinematics in the analysis of failure rates and failure time distributions [PDF]
, 2010 Collections of related Poisson or binomial counts arise, for example, from a number of different failures in similar machines or neighbouring time periods.
Farrow, Malcolm, Wilson, Kevin
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Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants [PDF]
, 2008 Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better ...
Hutchison, Kenneth +3 more
core +4 more sources
Sparse Bayesian learning-based mainlobe blanket jamming suppression algorithm
The Journal of Engineering, 2019 The suppression of mainlobe jamming (MLJ) is a hard task and an open problem in the electronic counter-countermeasures field. In this article, a sparse Bayesian learning (SBL)-based mainlobe blanket jamming suppression algorithm is proposed for solving ...
Bilei Zhou +4 more
doaj +1 more source
Conundrum of fault detection in active hybrid AC–DC distribution networks
The Journal of Engineering, 2020 Fault detection in hybrid AC–DC distribution networks is a challenging problem due to various sources of uncertainty and high degrees of complexity. A few well-known sources that instil uncertainty in the system are stochasticity of energy injected by ...
Shahram Negari, David Xu
doaj +1 more source
Internet of things based multi-sensor patient fall detection system
Healthcare Technology Letters, 2019 Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness.
Sarah Khan +5 more
doaj +1 more source
Data-driven XGBoost-based filter for target tracking
The Journal of Engineering, 2019 In recent years, the data-driven approach has been introduced in the field of target tracking as a powerful tool developing the end-to-end mapping relationship between input features and outputs.
Bowen Zhai +4 more
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Estimation and control using sampling-based Bayesian reinforcement learning
IET Cyber-Physical Systems, 2019 Real-world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation and control tasks to maintain robustness to changing dynamics or modelling errors.
Patrick Slade +3 more
doaj +1 more source
Healthcare Technology Letters, 2020 Trauma brain injury (TBI) is the most common cause of death and disability in young adults. A method to determine the probability of survival (Ps) in trauma called iterative random comparison classification (IRCC) was developed and its performance was ...
Mohammed Salah +3 more
doaj +1 more source