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Minh-Tu Cao
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2020 – today
- 2023
- [j15]Min-Yuan Cheng, Minh-Tu Cao, Ngoc-Mai Dao-Thi:
A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design. Expert Syst. Appl. 212: 118605 (2023) - [j14]Hieu Nguyen, Minh-Tu Cao, Xuan-Linh Tran
, Thu-Hien Tran, Nhat-Duc Hoang:
A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles. Neural Comput. Appl. 35(5): 3825-3852 (2023) - [j13]Min-Yuan Cheng, Minh-Tu Cao
Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity. J. Supercomput. 79(4): 4468-4492 (2023) - 2022
- [j12]Minh-Tu Cao
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength. Eng. Comput. 38(3): 2185-2207 (2022) - 2021
- [j11]Minh-Tu Cao, Ngoc-Mai Nguyen
Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree. Adv. Eng. Softw. 159: 103031 (2021) - [j10]Min-Yuan Cheng, Minh-Tu Cao
Predicting load on ground anchor using a metaheuristic optimized least squares support vector regression model: a Taiwan case study. J. Comput. Des. Eng. 8(1): 268-282 (2021) - [j9]Minh-Tu Cao, Kuan-Tsung Chang, Ngoc-Mai Nguyen
Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach. Soft Comput. 25(20): 12839-12855 (2021) - 2020
- [j8]Minh-Tu Cao
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources. Adv. Eng. Informatics 46: 101182 (2020)
2010 – 2019
- 2017
- [j7]Min-Yuan Cheng, Jui-Sheng Chou
Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance. Soft Comput. 21(2): 477-489 (2017) - 2016
- [j6]Duc-Hoc Tran, Min-Yuan Cheng, Minh-Tu Cao:
Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution. J. Comput. Civ. Eng. 30(4) (2016) - 2015
- [j5]Min-Yuan Cheng, Minh-Tu Cao
Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network. J. Comput. Civ. Eng. 29(5) (2015) - [j4]Duc-Hoc Tran, Min-Yuan Cheng, Minh-Tu Cao
Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem. Knowl. Based Syst. 74: 176-186 (2015) - 2014
- [j3]Nhat-Duc Hoang
A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence. Appl. Comput. Intell. Soft Comput. 2014: 754809:1-754809:8 (2014) - [j2]Min-Yuan Cheng
Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines. Appl. Soft Comput. 22: 178-188 (2014) - [j1]Min-Yuan Cheng
Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams. Eng. Appl. Artif. Intell. 28: 86-96 (2014)
Coauthor Index
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