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Anemia prediction using gene expression programming (GEP) and explainable artificial intelligence approaches

Computers in Biology and Medicine
Anemia being a global health disorder, affecting millions of people, especially pregnant women, children, and the elderly. Proper and timely diagnosis must be ensured to prevent its adverse effects, but the traditional diagnostic methods are very time-consuming, costly, and subject to human mistakes.
Abdullah Abdullah   +5 more
openaire   +2 more sources

Application of gene expression programming (GEP) to investigate the health condition of direct-drive wind turbine

2016 7th India International Conference on Power Electronics (IICPE), 2016
In this paper, Gene Expression Programming (GEP) based a wind turbine healthy condition identification model is proposed using generator current signals. Proposed GEP approach is capable to achieve very high classification accuracy. This is the first attempt to design such type of classifier using GEP for health condition identification of wind turbine.
Hasmat Malik, Sukumar Mishra
openaire   +1 more source

Quantitative Structure-Retention Relationship (QSRR) study of oxygen-containing organic compounds based on Gene Expression Programming (GEP)

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016
Gene Expression Programming (GEP) is an orginal and an effective searching method. Multiple Linear Regression (MLR), Artificial Neural Network (ANN) and GEP techniques were used to investigate the correlation between retention indices (RI) and descriptors for 91 oxygen-containing organic compounds.
Xiaotong Zhang   +5 more
openaire   +1 more source

Ground motion prediction equations (GMPEs) for elastic response spectra in the Iranian plateau using Gene Expression Programming (GEP)

Journal of Intelligent & Fuzzy Systems, 2014
This paper proposes ground-motion prediction equations(GMPEs) for the horizontal component of earthquake in Iranian plateau. These equations present the velocity and acceleration response spectra at 5% damping ratio as continuous period functions, within range of 0.1 to 4 seconds.
Gholamreza Ghodrati Amiri   +2 more
openaire   +1 more source

Modeling and monitoring the material removal rate of abrasive belt grinding based on vision measurement and the gene expression programming (GEP) algorithm

The International Journal of Advanced Manufacturing Technology, 2022
L. Ren   +4 more
semanticscholar   +1 more source

Processing parameters optimization of draw frame for rotor spun yarn strength using gene expression programming (GEP)

Fibers and Polymers, 2011
Breaking strength is one of the most important mechanical property of a yarn as it is the main parameter for quality control. This property depends on many different factors namely, raw material factors, process variables and machine parameters. Since, there is a high degree of interaction between yarn properties and influencing factors therefore ...
A. R. Moghassem, A. R. Fallahpour
openaire   +1 more source

Optimization of Solid Lipid Nanoparticles using Gene Expression Programming (GEP)

2014
The aim of this work was to apply the INForm V5.1 GEP program in the development and optimization of different solid lipid nanoparticles (SLN) formulations using physical parameters to achieve the best combination of materials. SLN have been produced by high-shear homogenization, and the formulations have been characterized for their mean particle size,
Aksu, Buket   +3 more
openaire   +1 more source

Modeling of bed-to-wall heat transfer coefficient in fluidized adsorption bed by gene expression programming approach

Powder Technology
Adsorption cooling and desalination methods with adsorption chillers (AC) are promising in energy technologies. However, the low-performance coefficient and bulkiness of traditional packed-bed ACs, primarily due to the high voidage of the sorbent beds ...
J. Krzywanski   +9 more
semanticscholar   +1 more source

Application of land properties in estimation of wheat production by FAO and gene expression programming (GEP) models

Arabian Journal of Geosciences, 2022
Ali Bariklo   +3 more
openaire   +1 more source

Modeling daily reference ET in the karst area of northwest Guangxi (China) using gene expression programming (GEP) and artificial neural network (ANN)

Theoretical and Applied Climatology, 2016
Sheng’an Wang   +4 more
semanticscholar   +1 more source

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