Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison

Multi-scale characteristics of magnesium potassium phosphate cement modified by metakaolin

(2022) Zhi-hai He et al.   CERAMICS INTERNATIONAL

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

Recycling hazardous water treatment sludge in cement-based construction materials: Mechanical properties, drying shrinkage, and nano-scale characteristics

(2021) Zhi-hai He et al.   JOURNAL OF CLEANER PRODUCTION

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

(2021) Ayaz Ahmad et al.   Materials

Artificial neural networking (ANN) analysis for heat and entropy generation in flow of non‐Newtonian fluid between two rotating disks

(2021) Tie‐Hong Zhao et al.   MATHEMATICAL METHODS IN THE APPLIED SCIENCES

Geopolymer Concrete Compressive Strength via Artificial Neural Network, Adaptive Neuro Fuzzy Interface System, and Gene Expression Programming With K-Fold Cross Validation

(2021) Mohsin Ali Khan et al.   Frontiers in Materials

Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEP

(2021) Fazal E. Jalal et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Autogenous shrinkage and nano-mechanical properties of UHPC containing waste brick powder derived from construction and demolition waste

(2021) Zhi-hai He et al.   CONSTRUCTION AND BUILDING MATERIALS

Random forest regression for improved mapping of solar irradiance at high latitudes

(2020) Bilal Babar et al.   SOLAR ENERGY

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

(2020) Dong Van Dao et al.   Materials

Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review

(2020) Taher Rajaee et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Prediction Models for the Mechanical Properties of Self-Compacting Concrete with Recycled Rubber and Silica Fume

(2020) Robert Bušić et al.   Materials

Analyzing the compressive strength of green fly ash based geopolymer concrete using experiment and machine learning approaches

(2020) Khoa Tan Nguyen et al.   CONSTRUCTION AND BUILDING MATERIALS

Life cycle greenhouse gas emissions of concrete containing supplementary cementitious materials: cut-off vs. substitution

(2020) Alessandro Arrigoni et al.   JOURNAL OF CLEANER PRODUCTION

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

A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams

(2020) Chun Bai et al.   APPLIED SOFT COMPUTING

Effects of steam curing regimes on the capillary water absorption of concrete: Prediction using multivariable regression models

(2020) Baoju Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method

(2020) Amir Ali Shahmansouri et al.   Journal of Building Engineering

New perspectives on utilization of CO2 sequestration technologies in cement-based materials

(2020) Baoju Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

A green ultra-lightweight chemically foamed concrete for building exterior: A feasibility study

(2020) Jinyan Shi et al.   JOURNAL OF CLEANER PRODUCTION

Graphene oxide modified Strain Hardening Cementitious Composites with enhanced mechanical and thermal properties by incorporating ultra-fine phase change materials

(2019) Zeyu Lu et al.   CEMENT & CONCRETE COMPOSITES

Comparative sustainability assessment of binary blended concretes using Supplementary Cementitious Materials (SCMs) and Ordinary Portland Cement (OPC)

(2019) Kamel Mohamed Rahla et al.   JOURNAL OF CLEANER PRODUCTION

An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions

(2019) Sehmus Fidan et al.   Advances in Materials Science and Engineering

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

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

Prediction of fresh and hardened properties of self-compacting concrete using support vector regression approach

(2019) Prasenjit Saha et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of concrete coefficient of thermal expansion and other properties using machine learning

(2019) Vanessa Nilsen et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete

(2019) Mohammad Azimi-Pour et al.   CONSTRUCTION AND BUILDING MATERIALS

Development of GP and GEP models to estimate an environmental issue induced by blasting operation

(2018) Roohollah Shirani Faradonbeh et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Prediction model for optimized self-compacting concrete with fly ash using response surface method based on fuzzy classification

(2018) Sundari Selvaraj et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of compressive strength of self-compacting concrete by ANFIS models

(2018) Behnam Vakhshouri et al.   NEUROCOMPUTING

Modeling the Fresh and Hardened Stage Properties of Self-Compacting Concrete using Random Kitchen Sink Algorithm

(2018) Dhanya Sathyan et al.   International Journal of Concrete Structures and Materials

Use of random forests regression for predicting IRI of asphalt pavements

(2018) Hongren Gong et al.   CONSTRUCTION AND BUILDING MATERIALS

Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability

(2018) Alexis Fouilloy et al.   ENERGY

Deep neural network with high-order neuron for the prediction of foamed concrete strength

(2018) Tuan Nguyen et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Effect of cement strength class on the prediction of compressive strength of cement mortar using GEP method

(2018) Sahar Mahdinia et al.   CONSTRUCTION AND BUILDING MATERIALS

An improved polynomial-based nonlinear variable importance measure and its application to degradation assessment for high-voltage transformer under imbalance data

(2018) Jin Cheng et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A huge number of artificial waste material can be supplementary cementitious material (SCM) for concrete production – a review part II

(2017) Evi Aprianti S   JOURNAL OF CLEANER PRODUCTION

Self-compacting concrete strength prediction using surrogate models

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

Prediction of self-compacting concrete elastic modulus using two symbolic regression techniques

(2016) Emadaldin Mohammadi Golafshani et al.   AUTOMATION IN CONSTRUCTION

Ecological and human health risk assessment of heavy metal contamination in soil of a municipal solid waste dump in Uyo, Nigeria

(2016) J. N. Ihedioha et al.   ENVIRONMENTAL GEOCHEMISTRY AND HEALTH

Prediction of self-compacting concrete strength using artificial neural networks

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

Reducing greenhouse gasses emissions by fostering the deployment of alternative raw materials and energy sources in the cleaner cement manufacturing process

(2016) Hrvoje Mikulčić et al.   JOURNAL OF CLEANER PRODUCTION

Sustainability in the EU cement industry: the Italian and German experiences

(2016) Stefania Supino et al.   JOURNAL OF CLEANER PRODUCTION

A review of waste products utilized as supplements to Portland cement in concrete

(2016) Jerry M. Paris et al.   JOURNAL OF CLEANER PRODUCTION

Knowledge discovery and predictive accuracy comparison of different classification algorithms for mould level fluctuation phenomenon in thin slab caster

(2016) Preetam Debasish Saha Roy et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A novel approach to prediction of rheological characteristics of jet grout cement mixtures via genetic expression programming

(2016) Hamza Güllü   NEURAL COMPUTING & APPLICATIONS

Prediction of properties of self-compacting concrete containing fly ash using artificial neural network

(2016) Omar Belalia Douma et al.   NEURAL COMPUTING & APPLICATIONS

Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation

(2016) Milan Despotovic et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Analyzing the compressive strength of clinker mortars using approximate reasoning approaches - ANN vs MLR

(2015) Ahmet Beycioglu et al.   Computers and Concrete

NEW DESIGN EQUATIONS FOR ELASTIC MODULUS OF CONCRETE USING MULTI EXPRESSION PROGRAMMING

(2015) Amir H. Gandomi et al.   Journal of Civil Engineering and Management

A comparative study of environmental performance between prefabricated and traditional residential buildings in China

(2015) Xinying Cao et al.   JOURNAL OF CLEANER PRODUCTION

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

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

An improved Gene Expression Programming approach for symbolic regression problems

(2014) YuZhong Peng et al.   NEUROCOMPUTING

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

(2013) Halil Ibrahim Erdal   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Global strategies and potentials to curb CO2 emissions in cement industry

(2012) Emad Benhelal et al.   JOURNAL OF CLEANER PRODUCTION

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

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

Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)

(2011) Muhammad Z. Hashmi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Prediction of splitting tensile strength from the compressive strength of concrete using GEP

(2011) Metin Hakan Severcan   NEURAL COMPUTING & APPLICATIONS

Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash

(2010) Mustafa Sarıdemir   CONSTRUCTION AND BUILDING MATERIALS

Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures

(2010) Amir Hossein Gandomi et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

(2008) B.K. Raghu Prasad et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS

On Some Aspects of Variable Selection for Partial Least Squares Regression Models

(2007) Partha Pratim Roy et al.   Quantitative structure-activity relationships & combinatorial science