Results 11 to 20 of about 82,724 (185)

Gene Expression Programming (GEP) to predict coefficient of discharge for oblique side weir [PDF]

open access: yesApplied Water Science, 2020
In irrigation and drainage structures, side weir is widely used for flow diversion from main to branch channels. Side weir is also used as a measuring device for discharge measurements, so discharge coefficient was mainly studied in many previous studies.
A. Mohammed, A. Sharifi
semanticscholar   +3 more sources

Runway groove closure prediction modelling by gene expression programming (GEP)

open access: yesRoad Materials and Pavement Design, 2023
Grooving on the runway is proven to improve frictional braking resistance and reduce the risk of hydroplaning during wet weather and maintain skid-resistant surfaces. Nonetheless, the runway grooves area deteriorates over time, and this groove closure is
Md. Tofail Miah   +3 more
semanticscholar   +3 more sources

Predicting the Viscosity of Petroleum Emulsions Using Gene Expression Programming (GEP) and Response Surface Methodology (RSM) [PDF]

open access: yesJournal of Applied Mathematics, 2020
This paper summarizes an investigation of certain operating parameters on the viscosity of petroleum emulsions. The production of crude oil is accompanied by emulsified water production, which comes along with various challenges like corroding the ...
A. A. Umar   +3 more
semanticscholar   +4 more sources

Determination of ozone concentration using gene expression programming algorithm (GEP)- Zrenjanin, Serbia [PDF]

open access: yesInternational Journal of Mining and Geo-Engineering, 2022
As one of the hazardous pollutants, ozone (O3), has significant adverse effects on urban dwellers' health. Predicting the concentration of ozone in the air can be used to control and prevent unpleasant effects.
Hesam Dehghani   +5 more
doaj   +3 more sources

Development and application of advanced learning models for predicting the land subsidence due to coal mining [PDF]

open access: yesScientific Reports
Underground coal mining presents significant environmental challenges, particularly land subsidence, which can lead to severe ecological and structural consequences. This phenomenon alters surface topography, disrupts groundwater flow, and poses risks to
Shirin Jahanmiri, Majid Noorian-Bidgoli
doaj   +2 more sources

Predicting 28-Day Compressive Strength of Self-Compacting Concrete (SCC) Using Gene Expression Programming (GEP)

open access: yesArchives of Advanced Engineering Science, 2023
SCC is an innovative building material which can flow and compact itself without the use of external vibrations. It is an effective material to enhance the use of industrial waste products such fly ash and silica fume etc in concrete to reduce the carbon
Waleed Bin Inqiad   +2 more
semanticscholar   +2 more sources

Modeling of Brine/CO2/Mineral Wettability Using Gene Expression Programming (GEP): Application to Carbon Geo-Sequestration

open access: yesMinerals, 2022
Carbon geo-sequestration (CGS), as a well-known procedure, is employed to reduce/store greenhouse gases. Wettability behavior is one of the important parameters in the geological CO2 sequestration process. Few models have been reported for characterizing
J. Abdi   +5 more
semanticscholar   +2 more sources

Forecasting the rheological properties of alkali-activated concrete utilizing gene expression programming [PDF]

open access: yesScientific Reports
Accurate prediction of fresh-state properties is essential for understanding the rheological behaviour of alkali-activated concrete (AAC), as these parameters directly influence mix uniformity and overall material performance. Gene expression programming
Hisham Alabduljabbar   +5 more
doaj   +2 more sources

A study of gene expression programming algorithm for dynamically adjusting the parameters of genetic operators. [PDF]

open access: yesPLoS One
The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence.
Liu K, Teng Y, Liu F.
europepmc   +2 more sources

Predictive Study on the Occurrence of Wheat Blossom Midges Based on Gene Expression Programming with Support Vector Machines [PDF]

open access: yesInsects
This study addresses the challenges in plant pest and disease prediction within the context of smart agriculture, highlighting the need for efficient data processing techniques.
Yin Li   +6 more
doaj   +2 more sources

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