Soft-computing techniques for prediction of soils consolidation coefficient

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

(2020) Dong Van Dao et al.   Materials

GIS-Based Ensemble Soft Computing Models for Landslide Susceptibility Mapping

(2020) Binh Thai Pham et al.   ADVANCES IN SPACE RESEARCH

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

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

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

Design of robust control based on linear matrix inequality and a novel hybrid PSO search technique for autonomous underwater vehicle

(2020) Elham Yazdani Bejarbaneh et al.   APPLIED OCEAN RESEARCH

Development of advanced artificial intelligence models for daily rainfall prediction

(2020) Binh Thai Pham et al.   ATMOSPHERIC RESEARCH

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

(2020) Binh Thai Pham et al.   Symmetry-Basel

Landslide susceptibility modelling using different advanced decision trees methods

(2019) Binh Thai Pham et al.   CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS

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

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

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

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

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

A Gene Expression Programming Model for Predicting Tunnel Convergence

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

Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network

(2019) Yousef Abbaspour-Gilandeh et al.   Agronomy-Basel

Cemented paste backfill for mineral tailings management: Review and future perspectives

(2019) Chongchong Qi et al.   MINERALS ENGINEERING

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

(2019) Chongchong Qi et al.   CHEMOSPHERE

A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability

(2018) Chongchong Qi et al.   APPLIED SOFT COMPUTING

Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill

(2018) Chongchong Qi et al.   CONSTRUCTION AND BUILDING MATERIALS

A hybrid ensemble method for improved prediction of slope stability

(2018) Chongchong Qi et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

A Real-Time Back-Analysis Technique to Infer Rheological Parameters from Field Monitoring

(2018) Chongchong Qi et al.   ROCK MECHANICS AND ROCK ENGINEERING

A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment

(2018) Khabat Khosravi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   NATURAL HAZARDS

Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network

(2018) Dieu Tien Bui et al.   ADVANCED ENGINEERING INFORMATICS

Multivariate analysis and modeling of soil quality indicators in long-term management systems

(2018) Marcelo de Andrade Barbosa et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application of ANFIS-based subtractive clustering algorithm in soil Cation Exchange Capacity estimation using soil and remotely sensed data

(2017) Ali Keshavarzi et al.   MEASUREMENT

Investigating the correlation between soil tensile strength curve and soil water retention curve via modeling

(2017) Golnaz Ebrahim-Zadeh et al.   SOIL & TILLAGE RESEARCH

Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems

(2016) Jui-Sheng Chou et al.   AUTOMATION IN CONSTRUCTION

Prediction of porosity and water saturation using pre-stack seismic attributes: a comparison of Bayesian inversion and computational intelligence methods

(2016) Hadi Fattahi et al.   COMPUTATIONAL GEOSCIENCES

Indirect estimation of deformation modulus of an in situ rock mass: an ANFIS model based on grid partitioning, fuzzy c-means clustering and subtractive clustering

(2016) Hadi Fattahi   GEOSCIENCES JOURNAL

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Consolidation Parameters Interpretation of CPTU Dissipation Data Based on Strain Path Theory for Soft Jiangsu Quaternary Clays

(2015) Guojun Cai et al.   MARINE GEORESOURCES & GEOTECHNOLOGY

Biogeography-based optimization in noisy environments

(2014) Haiping Ma et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Indirect estimation of unconfined compressive strength of carbonate rocks using extreme learning machine

(2014) Zaobao Liu et al.   Acta Geotechnica

Hybrid Monte Carlo simulation and ANFIS-subtractive clustering method for reliability analysis of the excavation damaged zone in underground spaces

(2013) Hadi Fattahi et al.   COMPUTERS AND GEOTECHNICS

Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns

(2013) Joaquim Tinoco et al.   COMPUTERS AND GEOTECHNICS

Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media

(2013) J. Guilleminot et al.   MULTISCALE MODELING & SIMULATION

To Identify the Important Soil Properties Affecting Dinoseb Adsorption with Statistical Analysis

(2013) Yiqing Guan et al.   TheScientificWorldJOURNAL

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

(2012) Dieu Tien Bui et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Predictions of coefficient of consolidation from CPTU dissipation tests in Quaternary clays

(2011) Guojun Cai et al.   Bulletin of Engineering Geology and the Environment

Multivariate statistical analysis of surface water quality based on correlations and variations in the data set

(2010) R. Noori et al.   DESALINATION

Biogeography-Based Optimization

(2008) D. Simon   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Least-square support vector machine applied to settlement of shallow foundations on cohesionless soils

(2008) Pijush Samui et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS