Surrogate Neural Network Model for Prediction of Load-Bearing Capacity of CFSS Members Considering Loading Eccentricity

Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete

(2020) Dong Van Dao et al.   Materials

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

(2020) Dong Van Dao et al.   Sustainability

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams

(2020) Quang Hung Nguyen et al.   Materials

Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression

(2020) Hung Quang Nguyen et al.   Materials

Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams

(2020) Hai-Bang Ly et al.   Sustainability

Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination

(2020) Binh Thai Pham et al.   Sustainability

Development of advanced artificial intelligence models for daily rainfall prediction

(2020) Binh Thai Pham et al.   ATMOSPHERIC RESEARCH

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete

(2019) Dong Dao et al.   Materials

Heterogeneous data-driven hybrid machine learning for tool condition prognosis

(2019) Peng Wang et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling

(2019) Mingjun Li et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees

(2019) Ly et al.   Materials

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

(2019) Payam Sarir et al.   ENGINEERING WITH COMPUTERS

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran

(2019) Mahmoud Bayat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

(2019) Jie Chen et al.   ENVIRONMENT INTERNATIONAL

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis

(2019) Binh Thai Pham et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam

(2019) Tran Van Phong et al.   Geocarto International

Development of Hybrid Artificial Intelligence Approaches and a Support Vector Machine Algorithm for Predicting the Marshall Parameters of Stone Matrix Asphalt

(2019) Hoang-Long Nguyen et al.   Applied Sciences-Basel

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

(2019) Ly et al.   Applied Sciences-Basel

Application of ANN in predicting ACC of SCFST column

(2019) Viet-Linh Tran et al.   COMPOSITE STRUCTURES

Pressure drops of fresh cemented paste backfills through coupled test loop experiments and machine learning techniques

(2019) Chongchong Qi et al.   POWDER TECHNOLOGY

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

(2019) Hai-Bang Ly et al.   SENSORS

Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques

(2019) Kuan-Tsung Chang et al.   Scientific Reports

Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction

(2019) Hoang-Long Nguyen et al.   Applied Sciences-Basel

Axial compressive behaviours of square CFST stub columns at low temperatures

(2019) Jia-Bao Yan et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Temperature effects on chloride binding capacity of cementitious materials

(2019) Van Quan Tran et al.   MAGAZINE OF CONCRETE RESEARCH

Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams

(2019) Hai-Bang Ly et al.   Applied Sciences-Basel

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach

(2019) Chongchong Qi et al.   CHEMOSPHERE

Load-carrying capacity of axially loaded concrete-filled steel tubular columns made of thin tubes

(2018) Marcin Abramski   Archives of Civil and Mechanical Engineering

Shear resistance prediction of concrete beams reinforced by FRP bars using artificial neural networks

(2018) H. Naderpour et al.   MEASUREMENT

Performance and design of eccentrically-loaded concrete-filled round-ended elliptical hollow section stub columns

(2018) Qihan Shen et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A unified deep artificial neural network approach to partial differential equations in complex geometries

(2018) Jens Berg et al.   NEUROCOMPUTING

Comparison of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) in modelling of waste coconut oil ethyl esters production

(2018) Olusegun David Samuel et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Intelligent Approach Based on Random Forest for Safety Risk Prediction of Deep Foundation Pit in Subway Stations

(2018) Ying Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Behaviour and design of short high-strength steel welded box and concrete-filled tube (CFT) sections

(2017) M. Khan et al.   ENGINEERING STRUCTURES

Axial performance of short concrete filled steel tubes with high- and ultra-high- strength materials

(2017) Ming-Xiang Xiong et al.   ENGINEERING STRUCTURES

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

(2017) Panagiotis Asteris et al.   SENSORS

Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite

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

Ultimate capacity prediction of axially loaded CFST short columns

(2016) Esra Mete Güneyisi et al.   International Journal of Steel Structures

Stability Analysis and Design of Composite Structures

(2016) Mark D. Denavit et al.   JOURNAL OF STRUCTURAL ENGINEERING

A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam

(2016) Kien-Trinh Thi Bui et al.   NEURAL COMPUTING & APPLICATIONS

Magging: Maximin Aggregation for Inhomogeneous Large-Scale Data

(2016) Peter Buhlmann et al.   PROCEEDINGS OF THE IEEE

Behavior of rectangular concrete-filled high-strength steel tubular columns with different aspect ratio

(2016) Yansheng Du et al.   THIN-WALLED STRUCTURES

Stability Analysis and Design of Composite Structures

(2016) Mark D. Denavit et al.   JOURNAL OF STRUCTURAL ENGINEERING

SUPPORT VECTOR MACHINES IN STRUCTURAL ENGINEERING: A REVIEW

(2015) Abdulkadir Çevik et al.   Journal of Civil Engineering and Management

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Effect of continuous spirals on uni-axial strength and ductility of CFST columns

(2015) M.H. Lai et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Behaviour and design of composite columns incorporating compact high-strength steel plates

(2015) Farhad Aslani et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load

(2014) M. Ahmadi et al.   Archives of Civil and Mechanical Engineering

Ambient and fire behavior of eccentrically loaded elliptical slender concrete-filled tubular columns

(2014) A. Espinos et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Developments and advanced applications of concrete-filled steel tubular (CFST) structures: Members

(2014) Lin-Hai Han et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Behaviour of concrete-encased CFST columns under combined compression and bending

(2014) Yu-Feng An et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Modelling, verification and investigation of behaviour of circular CFST columns

(2014) Pramod K. Gupta et al.   Structural Concrete

Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases

(2013) J. Guilleminot et al.   ACTA MECHANICA SINICA

Experimental study of rectangular CFST columns subjected to eccentric loading

(2013) Xiushu Qu et al.   THIN-WALLED STRUCTURES

Local buckling and concrete confinement of concrete-filled box columns under axial load

(2012) Cheng-Cheng Chen et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling

(2012) Adam P. Piotrowski et al.   JOURNAL OF HYDROLOGY

Prediction of FRP-confined compressive strength of concrete using artificial neural networks

(2010) H. Naderpour et al.   COMPOSITE STRUCTURES

Behavior of high-strength circular concrete-filled steel tubular (CFST) column under eccentric loading

(2010) Seong-Hui Lee et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Global stability analysis of a general class of discontinuous neural networks with linear growth activation functions

(2009) Huaiqin Wu   INFORMATION SCIENCES