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Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

Applied soft computing, 2014-09, Vol.22, p.178-188

2014

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Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources

Advanced engineering informatics, 2020-10, Vol.46, p.101182, Article 101182

2020

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Hybrid multiple objective artificial bee colony with differential evolution for the time–cost–quality tradeoff problem

Knowledge-based systems, 2015-01, Vol.74, p.176-186

2015

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Prediction of long-term deflections of reinforced-concrete members using a novel swarm optimized extreme gradient boosting machine

Engineering with computers, 2022-06, Vol.38 (Suppl 2), p.1255-1267

2022

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Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline

Measurement : journal of the International Measurement Confederation, 2020-11, Vol.164, p.108066, Article 108066

2020

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Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach

Soft computing (Berlin, Germany), 2021-10, Vol.25 (20), p.12839-12855

2021

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Predicting load on ground anchor using a metaheuristic optimized least squares support vector regression model: a Taiwan case study

Journal of Computational Design and Engineering , 2021, 8(1), , pp.268-282

2021

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Drone-assisted segmentation of tile peeling on building façades using a deep learning model

Journal of Building Engineering, 2023-12, Vol.80, p.108063, Article 108063

Cao, Minh-Tu

2023

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Estimating strength of rubberized concrete using evolutionary multivariate adaptive regression splines

Journal of civil engineering and management, 2016-07, Vol.22 (5), p.711-720

2016

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A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons

Automation in construction, 2014-05, Vol.41, p.60-69

2014

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Advanced soft computing techniques for predicting punching shear strength

Journal of Building Engineering, 2023-11, Vol.79, p.107800, Article 107800

Cao, Minh-Tu

2023

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Symbiotic organisms search-optimized deep learning technique for mapping construction cash flow considering complexity of project

Chaos, solitons and fractals, 2020-09, Vol.138, p.109869, Article 109869

2020

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Chaotic initialized multiple objective differential evolution with adaptive mutation strategy (CA-MODE) for construction project time-cost-quality trade-off

Journal of civil engineering and management, 2016-02, Vol.22 (2), p.210-223

2016

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An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength

Engineering with computers, 2022-06, Vol.38 (3), p.2185-2207

2022

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Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity

The Journal of supercomputing, 2023-03, Vol.79 (4), p.4468-4492

2023

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Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam

Structural health monitoring, 2022-07, Vol.21 (4), p.1738-1756

2022

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Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

Engineering applications of artificial intelligence, 2014-02, Vol.28, p.86-96

2014

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Accurately predicting the mechanical behavior of deteriorated reinforced concrete components using natural intelligence-integrated Machine learners

Construction & building materials, 2023-12, Vol.408, p.133753, Article 133753

2023

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Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine

Journal of Building Engineering, 2021-03, Vol.35, p.101973, Article 101973

2021

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A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles

Neural computing & applications, 2023-02, Vol.35 (5), p.3825-3852

2023

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Hybrid Computational Model for Forecasting Taiwan Construction Cost Index

Journal of construction engineering and management, 2015-04, Vol.141 (4)

2015

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Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network

Journal of computing in civil engineering, 2015-09, Vol.29 (5)

2015

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Hybrid intelligent inference model for enhancing prediction accuracy of scour depth around bridge piers

Structure and infrastructure engineering, 2015-09, Vol.11 (9), p.1178-1189

2015

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Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution

Journal of computing in civil engineering, 2016-07, Vol.30 (4)

2016

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Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance

Soft computing (Berlin, Germany), 2017, Vol.21 (2), p.477-489

2017

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Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources

Hybrid multiple objective artificial bee colony with differential evolution for the time–cost–quality tradeoff problem

Prediction of long-term deflections of reinforced-concrete members using a novel swarm optimized extreme gradient boosting machine

Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline

Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach

Predicting load on ground anchor using a metaheuristic optimized least squares support vector regression model: a Taiwan case study

Drone-assisted segmentation of tile peeling on building façades using a deep learning model

Estimating strength of rubberized concrete using evolutionary multivariate adaptive regression splines

A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons

Advanced soft computing techniques for predicting punching shear strength

Symbiotic organisms search-optimized deep learning technique for mapping construction cash flow considering complexity of project

Chaotic initialized multiple objective differential evolution with adaptive mutation strategy (CA-MODE) for construction project time-cost-quality trade-off

An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength

Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity

Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam

Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

Accurately predicting the mechanical behavior of deteriorated reinforced concrete components using natural intelligence-integrated Machine learners

Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine

A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles

Hybrid Computational Model for Forecasting Taiwan Construction Cost Index

Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network

Hybrid intelligent inference model for enhancing prediction accuracy of scour depth around bridge piers

Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution

Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance

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