Comparative study on the performance of different machine learning techniques to predict the shear strength of RC deep beams: Model selection and industry implications

Machine learning-based prediction for maximum displacement of seismic isolation systems

(2022) Hoang D. Nguyen et al.   Journal of Building Engineering

Machine learning for structural engineering: A state-of-the-art review

(2022) Huu-Tai Thai   Structures

Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements

(2021) De-Cheng Feng et al.   ENGINEERING STRUCTURES

Development of extreme gradient boosting model for prediction of punching shear resistance of r/c interior slabs

(2021) Hoang D. Nguyen et al.   ENGINEERING STRUCTURES

Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach

(2021) Jesika Rahman et al.   ENGINEERING STRUCTURES

Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting

(2021) Hoang D. Nguyen et al.   ENGINEERING STRUCTURES

Rapid seismic damage-state assessment of steel moment frames using machine learning

(2021) Hoang D. Nguyen et al.   ENGINEERING STRUCTURES

Machine learning models for predicting maximum displacement of triple pendulum isolation systems

(2021) Nam V. Nguyen et al.   Structures

Machine Learning for Materials Scientists: An introductory guide towards best practices

(2020) Anthony Yu-Tung Wang et al.   CHEMISTRY OF MATERIALS

Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model

(2020) Guangnan Zhang et al.   ENGINEERING WITH COMPUTERS

Assessment of deep beams with inadequate web reinforcement using strut-and-tie models

(2020) Jarrod Zaborac et al.   ENGINEERING STRUCTURES

Recent advances and applications of machine learning in solid-state materials science

(2019) Jonathan Schmidt et al.   npj Computational Materials

Correlation Coefficients

(2018) Patrick Schober et al.   ANESTHESIA AND ANALGESIA

Cracking strut-and-tie model for shear strength evaluation of reinforced concrete deep beams

(2018) Hui Chen et al.   ENGINEERING STRUCTURES

A comparative study of models for shear strength of reinforced concrete deep beams

(2016) Jian Liu et al.   ENGINEERING STRUCTURES

Modeling of the strut-and-tie parameters of deep beams for shear strength prediction

(2016) Erwin Lim et al.   ENGINEERING STRUCTURES

Shear strength prediction of HSC slender beams without web reinforcement

(2015) H. M. Elsanadedy et al.   MATERIALS AND STRUCTURES

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Effective shear stiffness of diagonally cracked reinforced concrete beams

(2013) Zuanfeng Pan et al.   ENGINEERING STRUCTURES

Strength and behavior in shear of reinforced concrete deep beams under dynamic loading conditions

(2013) Satadru Das Adhikary et al.   NUCLEAR ENGINEERING AND DESIGN