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

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

(2020) Dong Van Dao et al.   CATENA

Development of advanced artificial intelligence models for daily rainfall prediction

(2020) Binh Thai Pham et al.   ATMOSPHERIC RESEARCH

Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration Aspects

(2019) Panagiotis G. Asteris et al.   Applied Sciences-Basel

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete

(2019) Dong Dao et al.   Materials

Encoder-decoder network for pixel-level road crack detection in black-box images

(2019) Seongdeok Bang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites

(2019) B. Staber et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Modeling the compressive strength of high-strength concrete: An extreme learning approach

(2019) Abobakr Khalil Al-Shamiri et al.   CONSTRUCTION AND BUILDING MATERIALS

Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

(2019) Lu Minh Le et al.   Materials

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

(2019) Ly et al.   Materials

Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches

(2019) Dong Dao et al.   Applied Sciences-Basel

Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

(2019) Hui Chen et al.   Applied Sciences-Basel

Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation

(2019) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Comparison of artificial neural network (ANN) and response surface methodology (RSM) prediction in compressive strength of recycled concrete aggregates

(2019) Abdelkader Hammoudi et al.   CONSTRUCTION AND BUILDING MATERIALS

Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

(2019) Hai-Bang Ly et al.   Materials

Prediction of Surface Treatment Effects on the Tribological Performance of Tool Steels Using Artificial Neural Networks

(2019) Liborio Cavaleri et al.   Applied Sciences-Basel

Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

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

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

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

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

(2019) Hai-Bang Ly et al.   SENSORS

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

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

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq

(2019) Khabat Khosravi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Prediction of shear strength of soft soil using machine learning methods

(2018) Binh Thai Pham et al.   CATENA

Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging

(2018) Dongho Kang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

End-to-End Deep Learning Methodology for Real-Time Traffic Network Management

(2018) Hossein Hashemi et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images

(2018) Hiroya Maeda et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks

(2018) Mohammad Amin Nabian et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

(2018) Yadong Xue et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

(2018) Dac-Khuong Bui et al.   CONSTRUCTION AND BUILDING MATERIALS

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

(2018) Ali Behnood et al.   JOURNAL OF CLEANER PRODUCTION

Deep neural network with high-order neuron for the prediction of foamed concrete strength

(2018) Tuan Nguyen et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning

(2018) Xiaochun Luo et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

(2018) Xiao Liang   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

(2017) Panagiotis Asteris et al.   SENSORS

Neural network classifier optimization using Differential Evolution with Global Information and Back Propagation algorithm for clinical datasets

(2016) N. Leema et al.   APPLIED SOFT COMPUTING

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

Robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation

(2016) Srđan Kostić et al.   ENGINEERING OPTIMIZATION

Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression

(2016) Anh-Duc Pham et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model

(2016) Nhat-Duc Hoang et al.   Advances in Civil Engineering

Monte Carlo simulations of mesoscale fracture of concrete with random aggregates and pores: a size effect study

(2015) Xiaofeng Wang et al.   CONSTRUCTION AND BUILDING MATERIALS

Uncertainty quantification through the Monte Carlo method in a cloud computing setting

(2014) Americo Cunha et al.   COMPUTER PHYSICS COMMUNICATIONS

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

Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring

(2013) Yong Huang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength

(2013) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

Two-level and hybrid ensembles of decision trees for high performance concrete compressive strength prediction

(2013) Halil Ibrahim Erdal   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT)

(2013) Min-Yuan Cheng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Comparative evaluation of text classification techniques using a large diverse Arabic dataset

(2013) Mohammad S. Khorsheed et al.   Language Resources and Evaluation

High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform

(2012) Halil Ibrahim Erdal et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals

(2011) Alex Alexandridis et al.   CONSTRUCTION AND BUILDING MATERIALS

Perceptron Learning in Engineering Design

(2010) H. ADELI et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Practical evaluation of relationship between concrete resistivity, water penetration, rapid chloride penetration and compressive strength

(2010) Ali Akbar Ramezanianpour et al.   CONSTRUCTION AND BUILDING MATERIALS

Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

(2010) Jui-Sheng Chou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Kernel methods in machine learning

(2008) Thomas Hofmann et al.   ANNALS OF STATISTICS

Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

(2008) B.K. Raghu Prasad et al.   CONSTRUCTION AND BUILDING MATERIALS

Gaussian predictive process models for large spatial data sets

(2008) Sudipto Banerjee et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Fuzzy polynomial neural networks for approximation of the compressive strength of concrete

(2007) M.H. Fazel Zarandi et al.   APPLIED SOFT COMPUTING