| Recurrent neural networks for real-time prediction of TBM operating parameters X Gao, M Shi, X Song, C Zhang, H Zhang Automation in Construction 98, 225-235, 2019 | 282 | 2019 |
| Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data W Sun, M Shi, C Zhang, J Zhao, X Song Automation in Construction 92, 23-34, 2018 | 175 | 2018 |
| Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine M Shi, W Hu, M Li, J Zhang, X Song, W Sun Mechanical Systems and Signal Processing 188, 110022, 2023 | 102 | 2023 |
| A multi-fidelity surrogate model based on support vector regression M Shi, L Lv, W Sun, X Song Structural and Multidisciplinary Optimization 61, 2363-2375, 2020 | 91 | 2020 |
| A data-driven framework for tunnel geological-type prediction based on TBM operating data J Zhao, M Shi, G Hu, X Song, C Zhang, D Tao, W Wu IEEE Access 7, 66703-66713, 2019 | 79 | 2019 |
| A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis X Song, M Shi, J Wu, W Sun Mechanical Systems and Signal Processing 133, 106279, 2019 | 57 | 2019 |
| Generative adversarial network for geological prediction based on TBM operational data C Zhang, M Liang, X Song, L Liu, H Wang, W Li, M Shi Mechanical Systems and Signal Processing 162, 108035, 2022 | 54 | 2022 |
| A multi-fidelity surrogate model based on extreme support vector regression: Fusing different fidelity data for engineering design ML Shi, L Lv, L Xu Engineering Computations 40 (2), 473-493, 2023 | 48 | 2023 |
| A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine M Shi, L Zhang, W Sun, X Song Knowledge-Based Systems 182, 104859, 2019 | 38 | 2019 |
| PR-FCM: a polynomial regression-based fuzzy C-means algorithm for attribute-associated data Y Pang, M Shi, L Zhang, X Song, W Sun Information Sciences 585, 209-231, 2022 | 36 | 2022 |
| Uncertainty optimization of dental implant based on finite element method, global sensitivity analysis and support vector regression H Li, M Shi, X Liu, Y Shi Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2019 | 33 | 2019 |
| Geology prediction based on operation data of TBM: Comparison between deep neural network and soft computing methods M Shi, W Sun, T Zhang, Y Liu, S Wang, X Song 2019 1st International Conference on Industrial Artificial Intelligence (IAI …, 2019 | 31 | 2019 |
| A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine M Shi, T Zhang, L Zhang, W Sun, X Song Knowledge-Based Systems 191, 105229, 2020 | 26 | 2020 |
| Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion J Zhang, W Gong, X Yue, M Shi, L Chen Reliability Engineering & System Safety 228, 108749, 2022 | 24 | 2022 |
| Multidisciplinary design optimization of dental implant based on finite element method and surrogate models M Shi, H Li, X Liu Journal of Mechanical Science and Technology 31, 5067-5073, 2017 | 19 | 2017 |
| Multidisciplinary design optimization of hard rock tunnel boring machine using collaborative optimization W Sun, X Wang, M Shi, Z Wang, X Song Advances in Mechanical Engineering 10 (1), 1687814018754726, 2018 | 18 | 2018 |
| A fast-converging ensemble infilling approach balancing global exploration and local exploitation: the go-inspired hybrid infilling strategy L Lv, M Shi, X Song, W Sun, J Zhang Journal of Mechanical Design 142 (2), 021403, 2020 | 17 | 2020 |
| A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines Y Pang, M Shi, L Zhang, W Sun, X Song Knowledge-Based Systems 242, 108362, 2022 | 14 | 2022 |
| The morphology, structure and composition of microarc oxidation (MAO) ceramic coating in Ca-P electrolyte with complexing agent EDTMPS and interpretation hypothesis of MAO process M Shi, H Li Электронная обработка материалов 52 (1), 31-41, 2016 | 13 | 2016 |
| Design optimization of a nuclear main steam safety valve based on an E-AHF ensemble surrogate model C Zong, M Shi, Q Li, F Liu, W Zhou, X Song Nuclear Engineering and Technology 54 (11), 4181-4194, 2022 | 12 | 2022 |
Xueguan Song (宋学官)School of Mechanical Engineering, Dalian University of TechnologyBestätigte E-Mail-Adresse bei dlut.edu.cn