Research graph
References from Data modeling analysis of GFRP tubular filled concrete column based on small sample deep meta learning method. Local targets link to admitted publications; unresolved targets remain external evidence.
Failure mode prediction of reinforced concrete columns using machine learning methods
2021 · External reference
Concave performance evaluation of GFRP-reinforced precast concrete tunnel lining segments
2024 · External reference
Seismic column-to-footing connections reinforced with steel/GFRP bars and GFRP spirals
2024 · External reference
Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach
2021 · External reference
In Ho Cho, Machine learning based prediction model for thermal conductivity of concrete
2021 · External reference
Machine learning algorithms for structural performance classifications and predictions: Application to reinforced masonry shear walls
10.1016/j.istruc.2019.06.017 · 2019 · External reference
A comparison of machine learning- and regression-based models for predicting ductility ratio of RC beam-column joints”
10.1016/j.istruc.2021.12.083 · 2022 · External reference
Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups
10.1016/j.istruc.2023.03.170 · 2023 · External reference
10.1109/bigdata.2018.8622525
10.1109/bigdata.2018.8622525 · External reference
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Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning
2019 · External reference
A supervised data augmentation strategy based on random combinations of key features
10.1016/j.ins.2023.03.038 · 2023 · External reference
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique
2021 · External reference
A review: Data pre-processing and data augmentation techniques
10.1016/j.gltp.2022.04.020 · 2022 · External reference
Remote sensing estimation of surface PM2.5 concentrations using a deep learning model improved by data augmentation and a particle size constraint
2022 · External reference
Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN)
2022 · External reference
Deep learning for nonlinear seismic responses prediction of subway station
2021 · External reference
Automatic detection of defects in concrete structures based on deep learning
10.1016/j.istruc.2022.06.042 · 2022 · External reference
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Comparative analysis of the optimized ANN, SVM, and tree ensemble models using Bayesian optimization for predicting GSHP COP
2021 · External reference
Mir Saeed Safizadeh, Investigation of real delamination detection in composite structure using air-coupled ultrasonic testing
2022 · External reference
Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
2023 · External reference
Prediction of long-term prestress loss for prestressed concrete cylinder structures using machine learning
2023 · External reference
Probabilistic seismic analysis of bridges through machine learning approaches
10.1016/j.istruc.2022.02.006 · 2022 · External reference
Machine learning for structural engineering: A state-of-the-art review
10.1016/j.istruc.2022.02.003 · 2022 · External reference
Investigation on various section GFRP profile strengthening concrete-filled GFRP tubular columns
2022 · External reference
Predictive models for concrete properties using machine learning and deep learning approaches: A review
2023 · External reference
Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
2022 · External reference
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2022 · External reference
10.1201/b16669
10.1201/b16669 · 2014 · External reference
FRP-reinforced/strengthened concrete: state-of-the-art review on durability and mechanical effects
10.3390/ma16051990 · 2023 · External reference
Bond mechanism and bond strength of GFRP bars to concrete: a review
10.1016/j.compositesb.2016.04.068 · 2016 · External reference
Design and detailing of glass fiber-reinforced polymer-reinforced concrete beams according to ACI 440.11–22
2023 · External reference
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Development length of glass fibre reinforced polymer (GFRP) rebar based on non-uniform bond stress
10.1139/cjce-2020-0400 · 2021 · External reference
Bond of FRP bars with different surface characteristics
10.1016/j.conbuildmat.2020.119839 · 2020 · External reference
Study on the bond performance of glass fiber-reinforced polymer bars considering the relative position between longitudinal bars and stirrups
2023 · External reference
Development length of straight FRP composite bars embedded in concrete
10.1177/0731684408100262 · 2010 · External reference
Fault detection in wind turbine generators using a meta-learning-based convolutional neural network
10.1016/j.ymssp.2023.110528 · 2023 · External reference
