Ngoc-Tri Ngo
Orcid: 0000-0002-7102-4566
According to our database1,
Ngoc-Tri Ngo
authored at least 14 papers
between 2014 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns.
Neural Comput. Appl., 2021
Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency.
Comput. Intell. Neurosci., 2021
Hybrid Machine Learning for Time-Series Energy Data for Enhancing Energy Efficiency in Buildings.
Proceedings of the Computational Science - ICCS 2021, 2021
2020
Soft Comput., 2020
Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models.
Soft Comput., 2020
Machine learning for predicting long-term deflections in reinforce concrete flexural structures.
J. Comput. Des. Eng., 2020
2019
Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-Based Air Conditioners.
IEEE Syst. J., 2019
Forecasting time series data using moving-window swarm intelligence-optimised machine learning regression.
Int. J. Intell. Eng. Informatics, 2019
2018
Engineering strength of fiber-reinforced soil estimated by swarm intelligence optimized regression system.
Neural Comput. Appl., 2018
2017
The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate.
Eng. Appl. Artif. Intell., 2017
2016
Closure to "Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression" by Jui-Sheng Chou, Ngoc-Tri Ngo, and Anh-Duc Pham.
J. Comput. Civ. Eng., 2016
Erratum for "Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression" by Jui-Sheng Chou, Ngoc-Tri Ngo, and Anh-Duc Pham.
J. Comput. Civ. Eng., 2016
Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression.
J. Comput. Civ. Eng., 2016
2014
Identifying critical project management techniques and skills for construction professionals to achieving project success.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014