Maolin Shi

According to our database, Maolin Shi authored at least 19 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fast Dual-Space Model Predictive Current Control of Five-Phase Flux-Intensifying IPM Motor With Adaptive Third-Harmonic Injection.

Li Zhang, Xianwei Wang, Xiaoyong Zhu, Maolin Shi, Wen-Hua Chen

IEEE Trans. Ind. Electron., March, 2026

2025

An Undersampling Method Based on Spatial Distance and Output Change for Computational Cost Reduction of Regression Models of Engineering Data.

Maolin Shi, Rui Zhu, Li Zhang, Chaoyong Zong, Qingchao Sun, Zhongqiang Zhang

IEEE Trans. Ind. Informatics, October, 2025

A Collaborative Design of Fault Tolerance and Flux Intensifying Effect to Effectively Improve High Reliability of the PM Drive System.

Li Zhang, Sisi Deng, Chenhan Zhang, Xiaoyong Zhu, Maolin Shi

IEEE Trans. Ind. Electron., July, 2025

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

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 hierarchical surrogate assisted optimization algorithm using teaching-learning-based optimization and differential evolution for high-dimensional expensive problems.

Jian Zhang, Muxi Li, Xinxin Yue, Xiaojuan Wang, Maolin Shi

Appl. Soft Comput., 2024

2022

Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion.

Jian Zhang, Weijie Gong, Xinxin Yue, Maolin Shi, Lei Chen

Reliab. Eng. Syst. Saf., 2022

A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines.

Yong Pang, Maolin Shi, Liyong Zhang, Wei Sun, Xueguan Song

Knowl. Based Syst., 2022

A fuzzy clustering algorithm based on hybrid surrogate model.

Maolin Shi, Zihao Wang, Lizhang Xu

J. Intell. Fuzzy Syst., 2022

A Study of Support Vector Regression-Based Fuzzy <i>c</i>-Means Algorithm on Incomplete Data Clustering.

Maolin Shi, Zihao Wang

J. Adv. Comput. Intell. Intell. Informatics, 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

Inf. Sci., 2022

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

2021

Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods.

Xianjie Gao, Xueguan Song, Maolin Shi, Chao Zhang, Hongwei Zhang

CoRR, 2021

2020

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, Xueguan Song

Knowl. Based Syst., 2020

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, Xueguan Song

Knowl. Based Syst., 2019

A support vector regression-based multi-fidelity surrogate model.

Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song

CoRR, 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, Xueguan Song, Hongyou Li

CoRR, 2019

A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data.

Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang, Dacheng Tao, Wei Wu

IEEE Access, 2019

2018

Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods.

Maolin Shi, Xueguan Song, Wei Sun

CoRR, 2018