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

Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

(2020) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

(2020) Deliang Sun et al.   Applied Sciences-Basel

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

(2020) Dong Van Dao et al.   CATENA

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

(2020) Jianwei Tian et al.   ENGINEERING WITH COMPUTERS

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

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

(2020) Binh Thai Pham et al.   Geocarto International

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

(2020) Binh Thai Pham et al.   Sustainability

Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness

(2020) Danial Jahed Armaghani 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

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

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

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete

(2019) Dong Dao et al.   Materials

Database of Shear Experiments on Steel Fiber Reinforced Concrete Beams without Stirrups

(2019) Eva Lantsoght   Materials

Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill

(2019) Chongchong Qi et al.   MINERALS ENGINEERING

Development and Evaluation of Hybrid Artificial Neural Network Architectures for Modeling Spatio-Temporal Groundwater Fluctuations in a Complex Aquifer System

(2019) Thendiyath Roshni et al.   WATER RESOURCES MANAGEMENT

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

On the application of machine learning techniques to derive seismic fragility curves

(2019) Jalal Kiani et al.   COMPUTERS & STRUCTURES

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

Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

(2019) Hai Xu et al.   Applied Sciences-Basel

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

How do steel fibers improve the shear capacity of reinforced concrete beams without stirrups?

(2019) Eva O.L. Lantsoght   COMPOSITES PART B-ENGINEERING

Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study

(2019) Sujith Mangalathu et al.   JOURNAL OF STRUCTURAL ENGINEERING

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

A Gene Expression Programming Model for Predicting Tunnel Convergence

(2019) Mohsen Hajihassani et al.   Applied Sciences-Basel

New empirical approach for determining nominal shear capacity of steel fiber reinforced concrete beams

(2019) Masoud Ahmadi et al.   CONSTRUCTION AND BUILDING MATERIALS

Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

(2019) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Joint frequency analysis and uncertainty estimation of coupled rainfall–runoff series relying on historical and simulated data

(2019) Esmaeel Dodangeh et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

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

Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

(2019) Lei Huang et al.   Applied Sciences-Basel

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

(2019) Chongchong Qi et al.   CHEMOSPHERE

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

Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques

(2018) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes

(2018) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget

(2018) Ya. D. Sergeyev et al.   Scientific Reports

An Engineering Method for Complex Structural Optimization Involving Both Size and Topology Design Variables

(2018) Hai Huang et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Experimental Study on Shear Behavior of Steel Fiber Reinforced Concrete Beams with High-Strength Reinforcement

(2018) Jun Zhao et al.   Materials

Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: A new approach

(2018) Zaher Mundher Yaseen et al.   ENGINEERING STRUCTURES

A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil

(2018) Binh Thai Pham et al.   CATENA

Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method

(2017) Seyyed Mohammad Mousavi et al.   ENERGY CONVERSION AND MANAGEMENT

Self-compacting concrete strength prediction using surrogate models

(2017) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

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

(2017) Panagiotis Asteris et al.   SENSORS

Solving combined heat and power economic dispatch problem using real coded genetic algorithm with improved Mühlenbein mutation

(2016) A. Haghrah et al.   APPLIED THERMAL ENGINEERING

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

Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

(2016) Hadi Mashhadban et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of steel fibers on the shear behavior of high strength concrete beams

(2016) T. Tahenni et al.   CONSTRUCTION AND BUILDING MATERIALS

Shear strength of steel fibre reinforced concrete beams with stirrups

(2016) Ali Amin et al.   ENGINEERING STRUCTURES

Prediction of self-compacting concrete strength using artificial neural networks

(2016) P.G. Asteris et al.   European Journal of Environmental and Civil Engineering

Optimal coordination of directional over current relays using a modified real coded genetic algorithm: A comparative study

(2016) Manoj Thakur et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

An optimized ANN model based on genetic algorithm for predicting ripping production

(2016) Edy Tonnizam Mohamad et al.   NEURAL COMPUTING & APPLICATIONS

Neuro-fuzzy technique to predict air-overpressure induced by blasting

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

Recycled Steel Fibre Reinforced Concrete failing in bending and in shear

(2015) Ziaaddin Zamanzadeh et al.   CONSTRUCTION AND BUILDING MATERIALS

Experimental study on shear-span to effective-depth ratio of steel fiber reinforced concrete T-beams

(2015) Dipti Ranjan Sahoo et al.   MATERIALS AND STRUCTURES

Development of prediction models for shear strength of SFRCB using a machine learning approach

(2015) Masoud Sarveghadi et al.   NEURAL COMPUTING & APPLICATIONS

An Appraisal of Steel Fibers as Minimum Shear Reinforcement in Concrete Beams

(2015) Bhupinder Singh et al.   ACI STRUCTURAL JOURNAL

Effect of Steel Fiber Content on Behavior of Concrete Beams with and without Stirrups

(2015) Dipti Ranjan Sahoo et al.   ACI STRUCTURAL JOURNAL

Modeling of masonry failure surface under biaxial compressive stress using Neural Networks

(2014) Vagelis Plevris et al.   CONSTRUCTION AND BUILDING MATERIALS

A hybrid Firefly-Genetic Algorithm for the capacitated facility location problem

(2014) A. Rahmani et al.   INFORMATION SCIENCES

Shear strength of Steel Fiber Reinforced Concrete (SFRC) slender beams

(2014) Guray Arslan   KSCE Journal of Civil Engineering

Shear response of lightweight steel fiber reinforced concrete members without stirrups

(2014) Abdoladel Shoaib et al.   MATERIALS AND STRUCTURES

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

Shear strength of full-scale steel fibre-reinforced concrete beams without stirrups

(2013) Nino Spinella   Computers and Concrete

Evaluation of shear performance of steel fibre reinforced concrete beams using a modified smeared-truss model

(2013) Jin-Ha Hwang et al.   MAGAZINE OF CONCRETE RESEARCH

Nonlinear modeling of shear strength of SFRC beams using linear genetic programming

(2013) A.H. Gandomi et al.   STRUCTURAL ENGINEERING AND MECHANICS

NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment

(2012) Ronay Ak et al.   EXPERT SYSTEMS WITH APPLICATIONS

Empirical modeling of shear strength of steel fiber reinforced concrete beams by gene expression programming

(2012) Ilker Fatih Kara   NEURAL COMPUTING & APPLICATIONS

Optimal test sequence generation using firefly algorithm

(2012) Praveen Ranjan Srivatsava et al.   Swarm and Evolutionary Computation

Effects of Steel Fibers on Shear Behavior of High-Strength Reinforced Concrete Beams

(2011) A. N. Dancygier et al.   ADVANCES IN STRUCTURAL ENGINEERING

Mixed variable structural optimization using Firefly Algorithm

(2011) Amir Hossein Gandomi et al.   COMPUTERS & STRUCTURES

Predicting the shear strength of steel fiber reinforced concrete beams

(2011) Emma Slater et al.   CONSTRUCTION AND BUILDING MATERIALS

Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir

(2011) Rasoul Irani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm

(2011) Juan Peralta Donate et al.   NEURAL COMPUTING & APPLICATIONS

Space mapping techniques for a structural optimization problem governed by thep-Laplace equation

(2011) O. Lass et al.   OPTIMIZATION METHODS & SOFTWARE

Design Equation for Punching Shear Capacity of SFRC Slabs

(2011) Hiroshi Higashiyama et al.   International Journal of Concrete Structures and Materials

Clustering using firefly algorithm: Performance study

(2011) J. Senthilnath et al.   Swarm and Evolutionary Computation

Neural networks modeling of shear strength of SFRC corbels without stirrups

(2009) Shailendra Kumar et al.   APPLIED SOFT COMPUTING

Simple Plastic Model for Shear Critical SFRC Beams

(2009) Nino Spinella et al.   JOURNAL OF STRUCTURAL ENGINEERING

Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal–hydraulic passive system

(2009) N. Pedroni et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Experimental and finite element analysis on the steel fiber-reinforced concrete (SFRC) beams ultimate behavior

(2008) D. Mehmet Özcan et al.   CONSTRUCTION AND BUILDING MATERIALS

Evolving neural network using real coded genetic algorithm for daily rainfall–runoff forecasting

(2008) A. Sedki et al.   EXPERT SYSTEMS WITH APPLICATIONS