A Machine Learning Approach as a Surrogate for a Finite Element Analysis: Status of Research and Application to One Dimensional Systems

Fault Diagnosis for Wind Turbines Based on ReliefF and eXtreme Gradient Boosting

(2020) Zidong Wu et al.   Applied Sciences-Basel

XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring

(2020) Wei Dong et al.   AUTOMATION IN CONSTRUCTION

Estimation of sound absorption coefficient of layered fibrous material using artificial neural networks

(2020) Ju Hyun Jeon et al.   APPLIED ACOUSTICS

A new method of diesel fuel brands identification: SMOTE oversampling combined with XGBoost ensemble learning

(2020) Shutao Wang et al.   FUEL

Nondestructive detection of sunset yellow in cream based on near-infrared spectroscopy and interval random forest

(2020) Jun Liu et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Bridging finite element and machine learning modeling: stress prediction of arterial walls in atherosclerosis

(2019) Ali Madani et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment

(2019) Zhili Zhou et al.   COMPLEXITY

Use of Neural Networks to Identify Safety Prevention Priorities in Agro-Manufacturing Operations within Commercial Grain Elevators

(2019) Fatemeh Davoudi Kakhki et al.   Applied Sciences-Basel

Physics-informed neural networks for high-speed flows

(2019) Zhiping Mao et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

ReLU networks as surrogate models in mixed-integer linear programs

(2019) Bjarne Grimstad et al.   COMPUTERS & CHEMICAL ENGINEERING

Hidden physics models: Machine learning of nonlinear partial differential equations

(2018) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

(2018) Liang Liang et al.   Journal of the Royal Society Interface

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Smart finite elements: A novel machine learning application

(2018) German Capuano et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

(2017) D. Lorente et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data-driven computational mechanics

(2016) T. Kirchdoerfer et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

An integrated approach for non-periodic dynamic response prediction of complex structures: Numerical and experimental analysis

(2016) Vahid Rahneshin et al.   JOURNAL OF SOUND AND VIBRATION

Prediction of UH-60A Blade Loads: Insight on Load Confluence Algorithm

(2014) M. Chierichetti et al.   AIAA JOURNAL

A modal approach for dynamic response monitoring from experimental data

(2014) M. Chierichetti et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach

(2013) Mohammad Ali Ahmadi et al.   FUEL