Minh-Tu Cao
Minh-Tu Cao
National Yang Ming Chiao Tung University
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Cited by
Cited by
Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines
MY Cheng, MT Cao
Applied Soft Computing 22, 178-188, 2014
Hybrid multiple objective artificial bee colony with differential evolution for the time–cost–quality tradeoff problem
DH Tran, MY Cheng, MT Cao
Knowledge-Based Systems 74, 176-186, 2015
Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams
MY Cheng, MT Cao
Engineering Applications of Artificial Intelligence 28, 86-96, 2014
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
MT Cao, QV Tran, NM Nguyen, KT Chang
Advanced Engineering Informatics 46, 101182, 2020
Hybrid computational model for forecasting Taiwan construction cost index
MT Cao, MY Cheng, YW Wu
Journal of Construction Engineering and Management 141 (4), 04014089, 2015
Predicting equilibrium scour depth at bridge piers using evolutionary radial basis function neural network
MY Cheng, MT Cao, YW Wu
Journal of Computing in Civil Engineering 29 (5), 04014070, 2015
Solving resource-constrained project scheduling problems using hybrid artificial bee colony with differential evolution
DH Tran, MY Cheng, MT Cao
Journal of Computing in Civil Engineering 30 (4), 04015065, 2016
A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons
MY Cheng, MT Cao, DH Tran
Automation in construction 41, 60-69, 2014
Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline
DT Vu, XL Tran, MT Cao, TC Tran, ND Hoang
Measurement 164, 108066, 2020
Estimating strength of rubberized concrete using evolutionary multivariate adaptive regression splines
MY Cheng, MT Cao
Journal of Civil Engineering and Management 22 (5), 711-720, 2016
Hybrid intelligent inference model for enhancing prediction accuracy of scour depth around bridge piers
MY Cheng, MT Cao
Structure and Infrastructure Engineering 11 (9), 1178-1189, 2015
A novel time series prediction approach based on a hybridization of least squares support vector regression and swarm intelligence
ND Hoang, AD Pham, MT Cao
Applied Computational Intelligence and Soft Computing 2014, 2014
Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine
MY Cheng, MT Cao, AYJ Mendrofa
Journal of Building Engineering 35, 101973, 2021
Chaotic initialized multiple objective differential evolution with adaptive mutation strategy (CA-MODE) for construction project time-cost-quality trade-off
MY Cheng, DH Tran, MT Cao
Journal of Civil Engineering and Management 22 (2), 210-223, 2016
Prediction of long-term deflections of reinforced-concrete members using a novel swarm optimized extreme gradient boosting machine
H Nguyen, NM Nguyen, MT Cao, ND Hoang, XL Tran
Engineering with Computers 38 (2), 1255-1267, 2022
Symbiotic organisms search-optimized deep learning technique for mapping construction cash flow considering complexity of project
MY Cheng, MT Cao, JG Herianto
Chaos, Solitons & Fractals 138, 109869, 2020
Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach
MT Cao, KT Chang, NM Nguyen, VD Tran, XL Tran, ND Hoang
Soft Computing 25 (20), 12839-12855, 2021
Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree
MT Cao, NM Nguyen, KT Chang, XL Tran, ND Hoang
Advances in Engineering Software 159, 103031, 2021
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength
MT Cao, ND Hoang, VH Nhu, DT Bui
Engineering with Computers, 1-23, 2020
Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance
MY Cheng, JS Chou, MT Cao
Soft Computing 21 (2), 477-489, 2017
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