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Maolin Shi
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Journal Articles
- 2024
- [j11]Jian Zhang, Muxi Li, Xinxin Yue, Xiaojuan Wang, Maolin Shi:
A hierarchical surrogate assisted optimization algorithm using teaching-learning-based optimization and differential evolution for high-dimensional expensive problems. Appl. Soft Comput. 152: 111212 (2024) - [j10]Li Yang, Xu Li zhang, Yaoming Li, Lv Liya, Maolin Shi:
Modeling and control methods of a multi-parameter system for threshing and cleaning in grain combine harvesters. Comput. Electron. Agric. 225: 109251 (2024) - 2022
- [j9]Zheng Ma, Sheng Jiang, Yaoming Li, Lizhang Xu, Yongle Zhu, Maolin Shi, Souleymane N. Traore:
Recognition methods of threshing load conditions based on machine learning algorithms. Comput. Electron. Agric. 200: 107250 (2022) - [j8]Yong Pang, Maolin Shi, Liyong Zhang, Xueguan Song, Wei Sun:
PR-FCM: A polynomial regression-based fuzzy C-means algorithm for attribute-associated data. Inf. Sci. 585: 209-231 (2022) - [j7]Maolin Shi, Zihao Wang:
A Study of Support Vector Regression-Based Fuzzy c-Means Algorithm on Incomplete Data Clustering. J. Adv. Comput. Intell. Intell. Informatics 26(4): 483-494 (2022) - [j6]Maolin Shi, Zihao Wang, Lizhang Xu:
A fuzzy clustering algorithm based on hybrid surrogate model. J. Intell. Fuzzy Syst. 42(3): 1963-1976 (2022) - [j5]Yong Pang, Maolin Shi, Liyong Zhang, Wei Sun, Xueguan Song:
A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines. Knowl. Based Syst. 242: 108362 (2022) - [j4]Jian Zhang, Weijie Gong, Xinxin Yue, Maolin Shi, Lei Chen:
Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion. Reliab. Eng. Syst. Saf. 228: 108749 (2022) - 2020
- [j3]Maolin Shi, Tianci Zhang, Liyong Zhang, Wei Sun, Xueguan Song:
A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine. Knowl. Based Syst. 191: 105229 (2020) - 2019
- [j2]Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang, Dacheng Tao, Wei Wu:
A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. IEEE Access 7: 66703-66713 (2019) - [j1]Maolin Shi, Liyong Zhang, Wei Sun, Xueguan Song:
A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine. Knowl. Based Syst. 182 (2019)
Informal and Other Publications
- 2021
- [i4]Xianjie Gao, Xueguan Song, Maolin Shi, Chao Zhang, Hongwei Zhang:
Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods. CoRR abs/2104.06353 (2021) - 2019
- [i3]Maolin Shi, Wei Sun, Xueguan Song, Hongyou Li:
High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes. CoRR abs/1906.05777 (2019) - [i2]Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song:
A support vector regression-based multi-fidelity surrogate model. CoRR abs/1906.09439 (2019) - 2018
- [i1]Maolin Shi, Xueguan Song, Wei Sun:
Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods. CoRR abs/1809.06688 (2018)
Coauthor Index
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