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| 1 | Multicenter,Phase Ⅱ study of cetuximab in combination with carboplatin in patients with recurrent or metastatic nasopharyngeal carcinoma显示文摘 | Chan ATC Hsu MM Goh BC | 2005 | J Clin Oncol2005，23，15： | 1 |
| 2 | Multicenter, phase II study of cetuximab in combination with carboplatin in patients with recurrent or metastatic nasopharyngeal car-cinoma显示文摘 | Chan ATC Hsu MM Goh BC | | 0，，15： | 1 |
| 3 | Pile response adjacent to braced excavation显示文摘 | Goh ATC WongK S TehCI etal | 2003 | Journal of Geotech- nical and Geoenvironmental Engineering2003，129，4： | 1 |
| 4 | Multicenter,phase Ⅱ study of cetuximab in combination with carboplatin in patients with recurrent or metastatic nasopharyngeal carcinoma显示文摘 | Chan ATC Hsu MM Goh BC | | 0，，： | 1 |
| 5 | Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques显示文摘Excessive structural forces generated inside tunnel linings could affect the safety and serviceability of tunnels,emphasizing the need to accurately predict the forces acting on tunnel linings during the preliminary design phase.In this study,an anisotropic soil model devel-oped by Norwegian Geotechnical Institute(NGI)based on the Active-Direct shear-Passive concept(NGI-ADP model)was adopted to conduct finite element(FE)analyses.A total of 682 cases were modeled to analyze the effects of five key parameters on twin-tunnel struc-tural forces;these parameters included twin-tunnel arrangements and subsurface soil properties:burial depth H,tunnel center-to-center distance D,soil strength s_(u)^(A),stiffness ratio G_(u)=s_(u)^(A),and degree of anisotropy ss_(u)^(P)=s_(u)^(A).The significant factors contributing to the bending moment and thrust force of the linings were the tunnel distance and overlying soil depth,respectively.The degree of anisotropy of the surrounding soil was found to be extremely important in simulating the twin-tunnel construction,and severe design errors could be made if the soil anisotropy is ignored.A cutting-edge application of machine learning in the construction of twin tunnels is presented;multivariate adaptive regression splines and decision tree regressor methods are developed to predict the maximum bending moment within the first tunnel’s linings based on the constructed FE cases.The developed prediction model can enable engineers to estimate the structural response of twin tunnels more accurately in order to meet the specific target reliability indices of projects. | Wengang Zhang Yongqin Li Chongzhi Wu Hongrui Li ATC Goh Hanlong Liu | 2022 | Underground Space2022，7，1： | 1 |
| 6 | A hybrid Bayesian back-propagation neural network approach to multivariate modeling显示文摘 | Chua CG Goh ATC | | 0，，08： | 1 |
| 7 | Analysis of piles subjected to embankment induced lateral soil Movements 显示文摘 | Goh ATC Teh C I Wong K S | 1997 | Journal of Geotechnical and Geoenvironmental Engineering ASCE1997，123，9： | 1 |
| 8 | Reliability assessment of basal-heave stability for braced excavations in clay显示文摘 | ATC Goh FH Kulhawy KS Wong | 2008 | Journal of Geotechnical and Geoenvironmental Engineering2008，134，2： | 1 |
| 9 | Support Vector Machines: Their Use in Geotechnical Engineering as Illustrated Using Seismic Liquefaction Data显示文摘 | Goh ATC Goh SH | 2007 | Computers and Geotech- nics2007，34，： | 1 |
| 10 | Modeling Soil Correlations Using Neural Networks显示文摘 | Goh ATC | 1995 | Journal of Computing in Civil Engineering ASCE1995，9，4： | 1 |
| 11 | Three-dimensional finite element analyses of passive pile behaviour显示文摘 | Miao LF Goh ATC WongKS | 2006 | International Journal for Numerical and Analytical Methods in Geomechanics2006，，30： | 1 |
| 12 | Estimating basal-heave stability for braced excavations in soft clay显示文摘 | GOH ATC | 1994 | Journal of Geotechnical Engineering ASCE1994，120，8： | 1 |
| 13 | Back-propagation neural networks for modeling complex systems显示文摘 | Goh ATC | 1995 | Artificial Intelligence in Engineering1995，9，3： | 1 |
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