Minh-Tu Cao
Orcid: 0000-0002-3793-008X
According to our database1,
Minh-Tu Cao
authored at least 16 papers
between 2014 and 2025.
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Online presence:
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Bibliography
2025
Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam.
Earth Sci. Informatics, January, 2025
2023
Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity.
J. Supercomput., March, 2023
A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles.
Neural Comput. Appl., February, 2023
A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design.
Expert Syst. Appl., 2023
2022
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength.
Eng. Comput., 2022
2021
Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach.
Soft Comput., 2021
Predicting load on ground anchor using a metaheuristic optimized least squares support vector regression model: a Taiwan case study.
J. Comput. Des. Eng., 2021
Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree.
Adv. Eng. Softw., 2021
2020
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources.
Adv. Eng. Informatics, 2020
2017
Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance.
Soft Comput., 2017
2016
Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution.
J. Comput. Civ. Eng., 2016
2015
Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem.
Knowl. Based Syst., 2015
Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network.
J. Comput. Civ. Eng., 2015
2014
Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams.
Eng. Appl. Artif. Intell., 2014
Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines.
Appl. Soft Comput., 2014
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