Results 1 to 10 of about 82,724 (185)

Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete. [PDF]

Materials (Basel), 2021
For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, the soft computing techniques known as gene expression programming (GEP) are executed to deliver an ...
Ali Khan M, Zafar A, Akbar A, Javed MF, Mosavi A.   +4 more
europepmc   +8 more sources

Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete

Ain Shams Engineering Journal, 2021
Annually, the thermal coal industries produce billion tons of fly-ash (FA) as a waste by-product. Which has been proficiently used for the manufacture of FA based geopolymer concrete (FGC).
Hong-Hu Chu, Mohsin Ali Khan, Muhammad Javed, Adeel Zafar, M. Ijaz Khan, Hisham Alabduljabbar, Sumaira Qayyum   +6 more
doaj   +5 more sources

Prediction of Ultra-High-Performance Concrete (UHPC) Properties Using Gene Expression Programming (GEP)

Buildings
In today’s digital age, innovative artificial intelligence (AI) methodologies, notably machine learning (ML) approaches, are increasingly favored for their superior accuracy in anticipating the characteristics of cementitious composites compared to ...
Yunfeng Qian, Jianyu Yang, Weijun Yang, Ali H. Alateah, Ali Alsubeai, Abdulgafor M. Alfares, Muhammad Sufian   +6 more
doaj   +5 more sources

A Highly Efficient Gene Expression Programming (GEP) Model for Auxiliary Diagnosis of Small Cell Lung Cancer. [PDF]

PLoS One, 2015
Background Lung cancer is an important and common cancer that constitutes a major public health problem, but early detection of small cell lung cancer can significantly improve the survival rate of cancer patients.
Yu Z, Lu H, Si H, Liu S, Li X, Gao C, Cui L, Li C, Yang X, Yao X.   +9 more
europepmc   +6 more sources

Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA [PDF]

Buildings, 2021
To minimize the environmental risks and for sustainable development, the utilization of recycled aggregate (RA) is gaining popularity all over the world. The use of recycled coarse aggregate (RCA) in concrete is an effective way to minimize environmental
Furqan Farooq, Phromphat Thansirichaisree, Fahid Aslam   +2 more
exaly   +4 more sources

Gene Expression Programming (GEP) Modelling of Sustainable Building Materials including Mineral Admixtures for Novel Solutions

Mining, 2022
In this study, the employment of the gene expression programming (GEP) technique in forecasting models on sustainable construction materials including mineral admixtures and civil engineering quantities (e.g., compressive strength), was investigated ...
Kennedy Onyelowe, Danial Rezazadeh Eidgahee, Ikpa Chidozie   +2 more
exaly   +4 more sources

Modeling the compressive strength of geopolymeric binders by gene expression programming-GEP [PDF]

Expert Systems With Applications, 2013
Abstract GEP has been employed in this work to model the compressive strength of different types of geopolymers through six different schemes. The differences between the models were in their linking functions, number of genes, chromosomes and head sizes. The curing time, Ca(OH)2 content, the amount of superplasticizer, NaOH concentration, mold type,
Ali Nazari
exaly   +4 more sources

GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies [PDF]

BMC Genomics, 2021
Background Identification of epistatic interactions provides a systematic way for exploring associations among different single nucleotide polymorphism (SNP) and complex diseases.
Yu Zhong Peng, Yanmei Lin, Yiran Huang, Ying Li, Guangsheng Luo, Jianping Liao   +5 more
doaj   +4 more sources

Determination of the ultimate limit states of shallow foundations using gene expression programming (GEP) approach

Soils and Foundations, 2015
AbstractIn this study, a gene expression programming (GEP) approach was employed to develop modified expressions for predicting the bearing capacity of shallow foundations founded on granular material. The model was validated against the results of load tests on full-scale and model footings obtained from the literature.
Amin Barari
exaly   +3 more sources

Application of Gene Expression Programming (GEP) in Modeling Hydrocarbon Recovery in WAG Injection Process [PDF]

Energies, 2021
Water alternating gas (WAG) injection has been successfully applied as a tertiary recovery technique. Forecasting WAG flooding performance using fast and robust models is of great importance to attain a better understanding of the process, optimize the ...
S. Afzali, Mohamad Mohamadi-Baghmolaei, S. Zendehboudi   +2 more
semanticscholar   +3 more sources