A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence. - Nhat-Duc Hoang; Anh-Duc Pham; Minh-Tu Cao (Appl. Comput. Intell. Soft Comput., 2014)

Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines. - Min-Yuan Cheng; Minh-Tu Cao (Appl. Soft Comput., 2014)

Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams. - Min-Yuan Cheng; Minh-Tu Cao (Eng. Appl. Artif. Intell., 2014)

Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network. - Min-Yuan Cheng; Minh-Tu Cao; Yu-Wei Wu (J. Comput. Civ. Eng., 2015)

Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem. - Duc-Hoc Tran; Min-Yuan Cheng; Minh-Tu Cao (Knowl. Based Syst., 2015)

Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution. - Duc-Hoc Tran; Min-Yuan Cheng; Minh-Tu Cao (J. Comput. Civ. Eng., 2016)

Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance. - Min-Yuan Cheng; Jui-Sheng Chou; Minh-Tu Cao (Soft Comput., 2017)

Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources. - Minh-Tu Cao; Quoc-Viet Tran; Ngoc-Mai Nguyen; Kuan-Tsung Chang (Adv. Eng. Informatics, 2020)

Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree. - Minh-Tu Cao; Ngoc-Mai Nguyen; Kuan-Tsung Chang; Xuan-Linh Tran; Nhat-Duc Hoang (Adv. Eng. Softw., 2021)

Predicting load on ground anchor using a metaheuristic optimized least squares support vector regression model: a Taiwan case study. - Min-Yuan Cheng; Minh-Tu Cao; Po-Kun Tsai (J. Comput. Des. Eng., 2021)

Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach. - Minh-Tu Cao; Kuan-Tsung Chang; Ngoc-Mai Nguyen; Van-Duc Tran; Xuan-Linh Tran; Nhat-Duc Hoang (Soft Comput., 2021)

An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength. - Minh-Tu Cao; Nhat-Duc Hoang; Viet-Ha Nhu; Dieu Tien Bui (Eng. Comput., 2022)

A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design. - Min-Yuan Cheng; Minh-Tu Cao; Ngoc-Mai Dao-Thi (Expert Syst. Appl., 2023)

A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles. - Hieu Nguyen 003; Minh-Tu Cao; Xuan-Linh Tran; Thu-Hien Tran; Nhat-Duc Hoang (Neural Comput. Appl., 2023)

Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity. - Min-Yuan Cheng; Minh-Tu Cao; Christian Kentaro Nuralim (J. Supercomput., 2023)

Measuring building information modeling user satisfaction by using active interpretable machine learning. - Wei-Chih Wang; Shyn-Chang Huang; Hsu-Pin Wang; Minh-Tu Cao (Appl. Soft Comput., 2025)

Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam. - Nhat-Duc Hoang; Phu Anh Huy Pham; Thanh-Canh Huynh; Minh-Tu Cao; Dieu Tien Bui (Earth Sci. Informatics, 2025)