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Sensitivity of TBM's Performance to Structural, Control and Geological Parameters Under Different Prediction Models., , , , and . IEEE Access, (2019)A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data., , , , , , and . IEEE Access, (2019)Study of electrochemical migration based transport kinetics of metal ions in Sn-9Zn alloy., , , , , , , , and . Microelectronics Reliability, (2018)Heat and mass transfer effects of laser soldering on growth behavior of interfacial intermetallic compounds in Sn/Cu and Sn-3.5Ag0.5/Cu joints., , , , , , , , and . Microelectronics Reliability, (2018)Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods., , and . CoRR, (2018)The Vibration Analysis of TBM Tunnelling Parameters Based on Dynamic Model., , , , and . ICIRA (3), volume 9246 of Lecture Notes in Computer Science, page 489-500. Springer, (2015)Sensitivity Analysis of Major Equipment Based on Radial Basis Function Metamodel., , , , , and . ICIRA (3), volume 9246 of Lecture Notes in Computer Science, page 469-480. Springer, (2015)A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine., , , and . Knowl.-Based Syst., (2019)New SR Drive With Integrated Charging Capacity for Plug-In Hybrid Electric Vehicles (PHEVs)., , , and . IEEE Trans. Industrial Electronics, 61 (10): 5722-5731 (2014)High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes., , , and . CoRR, (2019)