Mingxing Jia - researchr alias

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Viewing Publication 1 - 15 from 15

2024

Operation Condition Assessment for Elevators Based on Deep Siamese Network and T-S Semi-Supervision ModelLei Guo, Dapeng Niu, Jiaxu Zhao, Mingxing Jia. tim, 73:1-13, 2024. [doi]

2023

Multi-well dynamic liquid-level prediction method of pumping well based on dynamic and static information feature fusion neural networkMingxing Jia, Chunyang Leng. tinstmc, 45(6):1099-1110, April 2023. [doi]

Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and DiagnosisHanqi Li, Mingxing Jia, Zhizhong Mao. entropy, 25(12):1664, December 2023. [doi]

2020

Optimization Design of Industrial Water Supply Pump Station Considering the Influence of Atmospheric Temperature on Operation CostMingxing Jia, Jialun Zhang, Yuemei Xu. access, 8:161702-161712, 2020. [doi]

2019

Adaptive Fuzzy Control for Nonlinear State Constrained Systems With Input Delay and Unknown Control CoefficientsFuqiang You, Nan Chen, Zhu Zhu, Shiya Cheng, Hongliang Yang, Mingxing Jia. access, 7:53718-53730, 2019. [doi]

2018

A new modifier adaptation methodology for real-time optimizationChunhua Chen, Mingxing Jia, Fuqiang You, Fuli Wang, Wenqi Kou. tinstmc, 40(4):1320-1327, 2018. [doi]

2014

Research of Improved Algorithm Based on LBP for Face RecognitionMingxing Jia, Zhixian Zhang, Pengfei Song, Junqiang Du. ccbr 2014: 111-119 [doi]

Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledgeWu Lv, Zhi Xie, Zhizhong Mao, Ping Yuan, Mingxing Jia. nca, 25(5):1125-1136, 2014. [doi]

Robust Multi-Human Tracking by Detection Update using Reliable Temporal InformationLu Wang, Qingxu Deng, Lu Wang, Qingxu Deng, Mingxing Jia. visapp 2014: 387-396 [doi]

Deformable Part Model based Multiple Pedestrian Detection for Video Surveillance in Crowded ScenesLu Wang, Xiaoli Ji, Qingxu Deng, Mingxing Jia. visapp 2014: 599-604 [doi]

Recursive parameter identification of Hammerstein-Wiener systems with measurement noiseFeng Yu, Zhizhong Mao, Mingxing Jia, Ping Yuan. sigpro, 105:137-147, 2014. [doi]

2013

Corrigendum to "Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace" [Knowl.-Based Syst. 36 (2012) 280-287]Wu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia. kbs, 44:132-133, 2013. [doi]

2012

The optimization of the kind and parameters of kernel function in KPCA for process monitoringMingxing Jia, Hengyuan Xu, Xiaofei Liu, Ning Wang. cce, 46:94-104, 2012. [doi]

Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnaceWu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia. kbs, 36:280-287, 2012. [doi]

2010

Optimal PCA-based modeling and fault diagnosis for uneven-length batch processesMingxing Jia, Fengxiang Li, Shouping Guan. icca 2010: 1731-1736 [doi]

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