Predictive modelling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners

Green concrete with ground granulated blast-furnace slag activated by desulfurization gypsum and electric arc furnace reducing slag

(2020) Ying Li et al.   JOURNAL OF CLEANER PRODUCTION

Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings

(2020) Guofeng Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

(2020) De-Cheng Feng et al.   ADVANCED ENGINEERING INFORMATICS

Investigation of cementitious properties of different constituents in municipal solid waste incineration bottom ash as supplementary cementitious materials

(2020) Pei Tang et al.   JOURNAL OF CLEANER PRODUCTION

An ensemble multi-step-ahead forecasting system for fine particulate matter in urban areas

(2020) Ida Kalate Ahani et al.   JOURNAL OF CLEANER PRODUCTION

influence of recycled aggregate replacement and fly ash content in performance of pervious concrete mixtures

(2020) Gabrieli Lazzari Vieira et al.   JOURNAL OF CLEANER PRODUCTION

High temporal resolution prediction of street-level PM2.5 and NOx concentrations using machine learning approach

(2020) Zhiyuan Li et al.   JOURNAL OF CLEANER PRODUCTION

Municipal solid waste incineration fly ash to produce eco-friendly binders for sustainable building construction

(2020) Cristina Marieta et al.   WASTE MANAGEMENT

Artificial neural network forecast of monthly mean daily global solar radiation of selected locations based on time series and month number

(2019) Chigbogu Godwin Ozoegwu   JOURNAL OF CLEANER PRODUCTION

Sulfate attack resistance of sustainable concrete incorporating various industrial solid wastes

(2019) Zhuo Tang et al.   JOURNAL OF CLEANER PRODUCTION

Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression

(2019) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Novel modifications in a conventional clinker making process for sustainable cement production

(2019) Emad Benhelal et al.   JOURNAL OF CLEANER PRODUCTION

Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete

(2019) Amir Tavana Amlashi et al.   JOURNAL OF CLEANER PRODUCTION

A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm

(2019) Qinghua Han et al.   CONSTRUCTION AND BUILDING MATERIALS

Cyber-physical system-based real-time monitoring and visualization of greenhouse gas emissions of prefabricated construction

(2019) Guiwen Liu et al.   JOURNAL OF CLEANER PRODUCTION

Optimization on cleaner intensification of ozone production using Artificial Neural Network and Response Surface Methodology: Parametric and comparative study

(2019) Ainy Hafeez et al.   JOURNAL OF CLEANER PRODUCTION

ANN-derived equation and ITS application in the prediction of dielectric properties of pure and impure CO 2

(2018) L.K. Abidoye et al.   JOURNAL OF CLEANER PRODUCTION

Heterogeneity in the association between environmental attitudes and pro-environmental behavior: A multilevel regression approach

(2018) Luis V. Casaló et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of compressive strength and ultrasonic pulse velocity of fiber reinforced concrete incorporating nano silica using heuristic regression methods

(2018) Ali Ashrafian et al.   CONSTRUCTION AND BUILDING MATERIALS

Cleaner production of one-part white geopolymer cement using pre-treated wood biomass ash and diatomite

(2018) Hassan Soltan Hassan et al.   JOURNAL OF CLEANER PRODUCTION

Application of statistical analysis to evaluate the corrosion resistance of steel rebars embedded in concrete with marble and granite waste dust

(2018) Iman Taji et al.   JOURNAL OF CLEANER PRODUCTION

A comprehensive study of basalt fiber reinforced magnesium phosphate cement incorporating ultrafine fly ash

(2018) Muhammad Riaz Ahmad et al.   COMPOSITES PART B-ENGINEERING

A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks

(2016) S. Chithra et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete

(2016) Behzad Abounia Omran et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

A comparative assessment of bagging ensemble models for modeling concrete slump flow

(2015) Hacer Yumurtaci Aydogmus et al.   Computers and Concrete

RETRACTED: Estimating unconfined compressive strength of cockle shell–cement–sand mixtures using soft computing methodologies

(2015) Shervin Motamedi et al.   ENGINEERING STRUCTURES

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

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

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

(2012) Adriana Trocoli Abdon Dantas et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Prediction of compressive strength of self-compacting concrete containing bottom ash using artificial neural networks

(2011) Rafat Siddique et al.   ADVANCES IN ENGINEERING SOFTWARE