Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm

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

(2021) Furqan Farooq et al.   JOURNAL OF CLEANER PRODUCTION

An intelligent model for the prediction of the compressive strength of cementitious composites with ground granulated blast furnace slag based on ultrasonic pulse velocity measurements

(2021) Sławomir Czarnecki et al.   MEASUREMENT

Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest

(2021) Mohsin Ali Khan et al.   Advances in Civil Engineering

Experimental Investigation of Hybrid Carbon Nanotubes and Graphite Nanoplatelets on Rheology, Shrinkage, Mechanical, and Microstructure of SCCM

(2020) Furqan Farooq et al.   Materials

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

Biochar as green additives in cement-based composites with carbon dioxide curing

(2020) Lei Wang et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of surface chloride concentration of marine concrete using ensemble machine learning

(2020) Rong Cai et al.   CEMENT AND CONCRETE RESEARCH

Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics

(2020) Peipei Wang et al.   CHAOS SOLITONS & FRACTALS

A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)

(2020) Furqan Farooq et al.   Applied Sciences-Basel

New Prediction Model for the Ultimate Axial Capacity of Concrete-Filled Steel Tubes: An Evolutionary Approach

(2020) Muhammad Faisal Javed et al.   Crystals

Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete

(2020) Muhammad Faisal Javed et al.   Crystals

Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete

(2020) Fahid Aslam et al.   Advances in Civil Engineering

Prediction of chloride diffusivity in concrete using artificial neural network: Modelling and performance evaluation

(2020) Qing-feng Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete

(2020) Babatunde Abiodun Salami et al.   MEASUREMENT

Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers

(2020) Arslan Akbar et al.   Journal of Building Engineering

Utilization of sugarcane bagasse ash as cement replacement for the production of sustainable concrete – A review

(2020) Muhammad Jahanzaib Khalil et al.   CONSTRUCTION AND BUILDING MATERIALS

Shear strength of RC beams with stirrups using an improved Eurocode 2 truss model with two variable-inclination compression struts

(2019) Dario De Domenico et al.   ENGINEERING STRUCTURES

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

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

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

(2019) Matheus Henrique Dal Molin Ribeiro et al.   APPLIED SOFT COMPUTING

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

(2019) De-Cheng Feng et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming

(2019) Muhammad Farjad Iqbal et al.   JOURNAL OF HAZARDOUS MATERIALS

Mitigation of carbon dioxide by accelerated sequestration in concrete debris

(2019) Ning Zhang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment

(2018) Tanveer Ahmad et al.   ENERGY

Turning municipal solid waste incineration into a cleaner cement production

(2018) Zaid Ghouleh et al.   JOURNAL OF CLEANER PRODUCTION

Carbon dioxide as an admixture for better performance of OPC-based concrete

(2018) Xin Qian et al.   Journal of CO2 Utilization

Prediction of compressive and flexural strengths of a modified zeolite additive mortar using artificial neural network

(2018) E.K. Onyari et al.   CONSTRUCTION AND BUILDING MATERIALS

Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

(2018) Mulusew Aderaw Getahun et al.   CONSTRUCTION AND BUILDING MATERIALS

Hybrid ultrasonic-neural prediction of the compressive strength of environmentally friendly concrete screeds with high volume of waste quartz mineral dust

(2018) Łukasz Sadowski et al.   JOURNAL OF CLEANER PRODUCTION

Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming

(2017) S. Hr. Aghay Kaboli et al.   ENERGY

On carbon dioxide utilization as a means to improve the sustainability of ready-mixed concrete

(2017) Sean Monkman et al.   JOURNAL OF CLEANER PRODUCTION

Carbon dioxide utilization with carbonation using industrial waste-desulfurization gypsum and waste concrete

(2016) Min-Gu Lee et al.   Journal of Material Cycles and Waste Management

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

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

Damage prediction for regular reinforced concrete buildings using the decision tree algorithm

(2013) A. Karbassi et al.   COMPUTERS & STRUCTURES

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

(2013) Halil Ibrahim Erdal   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE