Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods. - Maolin Shi; Xueguan Song; Wei Sun 030 (CoRR, 2018)

A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. - Junhong Zhao; Maolin Shi; Gang Hu; Xueguan Song; Chao Zhang 017; Dacheng Tao; Wei Wu 010 (IEEE Access, 2019)

High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes. - Maolin Shi; Wei Sun 030; Xueguan Song; Hongyou Li (CoRR, 2019)

A support vector regression-based multi-fidelity surrogate model. - Maolin Shi; Shuo Wang; Wei Sun 030; Liye Lv; Xueguan Song (CoRR, 2019)

A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine. - Maolin Shi; Liyong Zhang; Wei Sun 030; Xueguan Song (Knowl. Based Syst., 2019)

A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine. - Maolin Shi; Tianci Zhang; Liyong Zhang; Wei Sun 030; Xueguan Song (Knowl. Based Syst., 2020)

Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods. - Xianjie Gao; Xueguan Song; Maolin Shi; Chao Zhang 017; Hongwei Zhang (CoRR, 2021)

Recognition methods of threshing load conditions based on machine learning algorithms. - Zheng Ma; Sheng Jiang; Yaoming Li; Lizhang Xu; Yongle Zhu; Maolin Shi; Souleymane N. Traore (Comput. Electron. Agric., 2022)

PR-FCM: A polynomial regression-based fuzzy C-means algorithm for attribute-associated data. - Yong Pang; Maolin Shi; Liyong Zhang; Xueguan Song; Wei Sun 030 (Inf. Sci., 2022)

A Study of Support Vector Regression-Based Fuzzy c-Means Algorithm on Incomplete Data Clustering. - Maolin Shi; Zihao Wang (J. Adv. Comput. Intell. Intell. Informatics, 2022)

A fuzzy clustering algorithm based on hybrid surrogate model. - Maolin Shi; Zihao Wang; Lizhang Xu (J. Intell. Fuzzy Syst., 2022)

A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines. - Yong Pang; Maolin Shi; Liyong Zhang; Wei Sun 030; Xueguan Song (Knowl. Based Syst., 2022)

Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion. - Jian Zhang 062; Weijie Gong; Xinxin Yue; Maolin Shi; Lei Chen (Reliab. Eng. Syst. Saf., 2022)

A hierarchical surrogate assisted optimization algorithm using teaching-learning-based optimization and differential evolution for high-dimensional expensive problems. - Jian Zhang 062; Muxi Li; Xinxin Yue; Xiaojuan Wang; Maolin Shi (Appl. Soft Comput., 2024)

Modeling and control methods of a multi-parameter system for threshing and cleaning in grain combine harvesters. - Li Yang; Xu Li zhang; Yaoming Li; Lv Liya; Maolin Shi (Comput. Electron. Agric., 2024)

A novel dual-channel deep neural network for tunnel boring machine slurry circulation system data prediction. - Rui Zhu; Qingchao Sun; Xuezhi Han; Huqiang Wang; Maolin Shi (Adv. Eng. Softw., 2025)

A Collaborative Design of Fault Tolerance and Flux Intensifying Effect to Effectively Improve High Reliability of the PM Drive System. - Li Zhang 020; Sisi Deng; Chenhan Zhang; Xiaoyong Zhu; Maolin Shi (IEEE Trans. Ind. Electron., 2025)