Degradation-Based Maintenance Decision Using Stochastic Filtering for Systems under Imperfect Maintenance M Zhang, O Gaudoin, M Xie European Journal of Operational Research 245 (2), 531-541, 2015 | 140 | 2015 |
Laser Beam Powder Bed Fusion of Nitinol Shape Memory Alloy (SMA) MA Obeidi, M Monu, C Hughes, D Bourke, MN Dogu, J Francis, M Zhang, ... Journal of Materials Research and Technology 14, 2554-2570, 2021 | 59 | 2021 |
A condition-based maintenance strategy for heterogeneous populations M Zhang, Z Ye, M Xie Computers & Industrial Engineering 77, 103-114, 2014 | 57 | 2014 |
Weighted Clustering Ensemble: A Review M Zhang Pattern Recognition 124, 108428, 2022 | 39 | 2022 |
A bivariate maintenance policy for multi-state repairable systems with monotone process M Zhang, M Xie, O Gaudoin IEEE Transactions on Reliability 62 (4), 876-886, 2013 | 31 | 2013 |
A stochastic EM algorithm for progressively censored data analysis M Zhang, Z Ye, M Xie Quality and Reliability Engineering International 30 (5), 711-722, 2014 | 27 | 2014 |
Continuous-Observation Partially Observable Semi-Markov Decision Processes for Machine Maintenance M Zhang, M Revie IEEE Transactions on Reliability 66 (1), 202-218, 2017 | 24 | 2017 |
An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit M Zhang, M Xie Technometrics 59 (2), 237-246, 2017 | 19 | 2017 |
Review of Clustering Methods for Functional Data M Zhang, A Parnell ACM Transactions on Knowledge Discovery from Data 17 (7), 34, 2023 | 17 | 2023 |
DCF: An Efficient and Robust Density-Based Clustering Method J Tobin, M Zhang 2021 IEEE International Conference on Data Mining (ICDM), 629-638, 2021 | 14 | 2021 |
Vine Copula Approximation: A Generic Method for Coping with Conditional Dependence M Zhang, T Bedford Statistics and Comoputing 28 (1), 219–237, 2018 | 14 | 2018 |
A Theoretical Analysis of Density Peaks Clustering and the Component-wise Peak-Finding Algorithm J Tobin, M Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (2), 1109 …, 2024 | 12* | 2024 |
Non-invasive classification of macrophage polarisation by 2P-FLIM and machine learning N Neto, S O'Rourke, M Zhang, H Fitzgerald, A Dunne, M Monaghan eLife 11, e77373, 2022 | 12 | 2022 |
Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm M Zhang, Q Hu, M Xie, D Yu Computational Statistics & Data Analysis 75, 96-111, 2014 | 11 | 2014 |
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing M Zhang, A Parnell, D Brabazon, A Benavoli arXiv:2107.12809, 2021 | 10 | 2021 |
A Heuristic Policy for Maintaining Multiple Multi-State Systems M Zhang Reliability Engineering & System Safety 203, 107081, 2020 | 10 | 2020 |
Model selection with application to gamma process and inverse Gaussian process M Zhang, M Revie Risk, Reliability and Safety: Innovating Theory and Practice, 2016 | 8 | 2016 |
Forward-Stagewise Clustering: An Algorithm for Convex Clustering M Zhang Pattern Recognition Letters 128, 283-289, 2019 | 7 | 2019 |
Reinforced EM Algorithm for Clustering with Gaussian Mixture Models J Tobin, CP Ho, M Zhang 2023 SIAM International Conference on Data Mining (SDM), 118 - 126, 2023 | 1 | 2023 |
Discussion of signature-based models of preventive maintenance M Zhang, B Liu Applied Stochastic Models in Business and Industry, 1-3, 2022 | 1 | 2022 |