Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning machine

Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion

(2019) Xuan Li et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Shear strength of steel fiber-unconfined reinforced concrete beam simulation: Application of novel intelligent model

(2019) Behrooz Keshtegar et al.   COMPOSITE STRUCTURES

Development of a sustainable coating and repair material to prevent bio-corrosion in concrete sewer and waste-water pipes

(2019) Negar Roghanian et al.   CEMENT & CONCRETE COMPOSITES

Load-carrying capacity and mode failure simulation of beam-column joint connection: Application of self-tuning machine learning model

(2019) Afrah Abdulelah Hamzah Alwanas et al.   ENGINEERING STRUCTURES

A deep energy method for finite deformation hyperelasticity

(2019) Vien Minh Nguyen-Thanh et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

A novel deep learning based method for the computational material design of flexoelectric nanostructures with topology optimization

(2019) Khader M. Hamdia et al.   FINITE ELEMENTS IN ANALYSIS AND DESIGN

Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models

(2019) Mohammad Zounemat-Kermani et al.   ADVANCED ENGINEERING INFORMATICS

Stochastic multiscale modeling of heat conductivity of Polymeric clay nanocomposites

(2019) Bokai Liu et al.   MECHANICS OF MATERIALS

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

(2018) Zaher Mundher Yaseen et al.   ADVANCES IN ENGINEERING SOFTWARE

Biogenic sulfuric acid corrosion resistance of new artificial reef concrete

(2018) Yu Yang et al.   CONSTRUCTION AND BUILDING MATERIALS

Numerical model for corrosion rate of steel reinforcement in cracked reinforced concrete structure

(2018) Feng Xu et al.   CONSTRUCTION AND BUILDING MATERIALS

Life cycle impact assessment of corrosion preventive designs applied to prestressed concrete bridge decks

(2018) Ignacio J. Navarro et al.   JOURNAL OF CLEANER PRODUCTION

Metaheuristic approach for an artificial neural network: Exergetic sustainability and environmental effect of a business aircraft

(2018) Tolga Baklacioglu et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Advances in concrete materials for sewer systems affected by microbial induced concrete corrosion: A review

(2018) Cyrill Grengg et al.   WATER RESEARCH

The degradation mechanisms of alkali-activated fly ash/slag blend cements exposed to sulphuric acid

(2018) Wei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model

(2018) Muzhou Hou et al.   Energies

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

(2018) Zaher Mundher Yaseen et al.   ENGINEERING STRUCTURES

Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model

(2018) Abeer A. Al-Musawi et al.   ENGINEERING WITH COMPUTERS

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors

(2017) Salim Heddam et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data

(2017) Meysam Alizamir et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Variable complexity online sequential extreme learning machine, with applications to streamflow prediction

(2017) Aranildo R. Lima et al.   JOURNAL OF HYDROLOGY

A software framework for probabilistic sensitivity analysis for computationally expensive models

(2016) N. Vu-Bac et al.   ADVANCES IN ENGINEERING SOFTWARE

Thermal valorization of sewer sludge: Perspectives for large wastewater treatment plants

(2016) Deborah Panepinto et al.   JOURNAL OF CLEANER PRODUCTION

An overview of principles of odor production, emission, and control methods in wastewater collection and treatment systems

(2016) Amirreza Talaiekhozani et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?

(2016) Roohollah Noori et al.   JOURNAL OF HYDRAULIC ENGINEERING

Predicting concrete corrosion of sewers using artificial neural network

(2016) Guangming Jiang et al.   WATER RESEARCH

Investigating Chaos and Nonlinear Forecasting in Short Term and Mid-term River Discharge

(2016) Mohammad Zounemat-Kermani   WATER RESOURCES MANAGEMENT

How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?

(2016) Roohollah Noori et al.   JOURNAL OF HYDRAULIC ENGINEERING

Modelling concrete deterioration in sewers using theory and field observations

(2015) T. Wells et al.   CEMENT AND CONCRETE RESEARCH

Pattern scaling using ClimGen: monthly-resolution future climate scenarios including changes in the variability of precipitation

(2015) Timothy J. Osborn et al.   CLIMATIC CHANGE

Prediction of dissolved oxygen in River Calder by noise elimination time series using wavelet transform

(2015) Masoud Ravansalar et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Parallel online sequential extreme learning machine based on MapReduce

(2015) Botao Wang et al.   NEUROCOMPUTING

An evolutionary approach to modelling concrete degradation due to sulphuric acid attack

(2014) Amir M. Alani et al.   APPLIED SOFT COMPUTING

Machine learning in concrete strength simulations: Multi-nation data analytics

(2014) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations

(2013) N. Vu-Bac et al.   MECHANICS OF MATERIALS

Non-destructive investigation of corrosion current density in steel reinforced concrete by artificial neural networks

(2012) L. Sadowski   Archives of Civil and Mechanical Engineering

Service life of the reinforced concrete bridge deck in corrosive environments: A soft computing system

(2011) Jafar Sobhani et al.   APPLIED SOFT COMPUTING

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction

(2011) R. Noori et al.   JOURNAL OF HYDROLOGY

Classification and regression trees

(2011) Wei-Yin Loh   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Evaluation of PCA and Gamma test techniques on ANN operation for weekly solid waste prediction

(2009) Roohollah Noori et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system

(2008) Mohammad Zounemat-Kermani et al.   APPLIED SOFT COMPUTING

Effectiveness of admixtures, surface treatments and antimicrobial compounds against biogenic sulfuric acid corrosion of concrete

(2008) Willem De Muynck et al.   CEMENT & CONCRETE COMPOSITES

Application of data mining techniques in customer relationship management: A literature review and classification

(2008) E.W.T. Ngai et al.   EXPERT SYSTEMS WITH APPLICATIONS

Enhanced random search based incremental extreme learning machine

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING