The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Application of maximum statistical entropy in formulating a non-gaussian probability density function in flow uncertainty analysis with prior measurement knowledge
A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes
Moschos Papananias, Thomas E McLeay, Mahdi Mahfouf and Visakan Kadirkamanathan Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 237(9) 1295 (2023) https://doi.org/10.1177/09544054221136510
Uncertainty Estimation for the Liquid Hydrocarbons Measurement in Static and Dynamic Measurement Systems: A Colombian Case Study
A generalized approach to determine the optimal manufacturing target for arbitrary loss functions and process models
Alexander Schöch, Carlo Bach, Carsten Ziolek and Enrico Savio The International Journal of Advanced Manufacturing Technology 97(9-12) 3557 (2018) https://doi.org/10.1007/s00170-018-2223-3
Traceability validation of a high speed short-pulse testing method used in LED production
Elena Revtova, Edgar Moreno Vuelban, Dongsheng Zhao, Jacques Brenkman and Henk Ulden International Journal of Metrology and Quality Engineering 8 30 (2017) https://doi.org/10.1051/ijmqe/2017024
Application of quantile functions for the analysis and comparison of gas pressure balance uncertainties
Comparison of the GUM and Monte Carlo methods on the flatness uncertainty estimation in coordinate measuring machine
Abdelilah Jalid, Said Hariri, Abdellah El Gharad and Jean Paul Senelaer International Journal of Metrology and Quality Engineering 7(3) 302 (2016) https://doi.org/10.1051/ijmqe/2016013
Uncertainty modelling of real-time observation of a moving object: photogrammetric measurements