Results 81 to 90 of about 82,724 (185)

Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation

Discover Civil Engineering
The accurate determination of pile-bearing capacity is crucial in construction projects to ensure the stability and safety of structures built on foundation piles.
Adil Khan, Majid Khan, W. A. Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen   +5 more
semanticscholar   +1 more source

Mast Cells in Acute COVID‐19 Patients

Allergy, Volume 81, Issue 8, Page 2984-2989, August 2026.
Ilan Zaffran, Hadas Pahima, Eli Ben‐Chetrit, Amir Jarjoui, Ilaria Puxeddu, Carl Zinner, Joana Vitte, Alexandar Tzankov, Francesca Levi‐Schaffer   +8 more
wiley   +1 more source

An Auto clustering Algorithm Based on Gene Expression Programming

工程科学与技术, 2007
:Many clustering algorithms have to need a number of clusters before clustering.In order to tackle this problem,a novel GEP-Cluster (Gene Expression Programming clustering) algorithm was proposed.
doaj  

Predicting Autogenous Shrinkage of High-Performance Concrete Utilizing Advanced Machine Learning Techniques

Journal of Natural Fibers
This study utilized gene expression programming (GEP) and multi-expression programming (MEP) machine learning techniques to predict the autogenous shrinkage (AS) of concrete incorporating superabsorbent polymers (SAPs) and cementitious supplements ...
Irfan Ullah, Muhammad Faisal Javed, Hisham Alabduljabbar, Furqan Ahmad   +3 more
doaj   +1 more source

Function Automatic Modeling Based on Naǐve Gene Expression Programming

工程科学与技术, 2008
:In order to improve the efficiency of GEP in function finding,a novel concept named Naǐve Gene Expression Programming(NGEP) and the concept of atomic gene fragments to preserve good genes were proposed.Gene transplant was introduced and the prototype
doaj  

Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams

Civil Engineering Journal
Corrugated web steel systems, such as corrugated web girders (CWG) and beams (CWSB), have the potential to influence the modern construction industry due to their unique properties, including enhanced shear strength and reduced necessity for transverse ...
M. Shrif, Z. Al-Sadoon, Samer A. Barakat, A. Habib, Omar Mostafa   +4 more
semanticscholar   +1 more source

A Study on H-GEP: Gene Expression Programming with Homeotic Genes

Information Technology Journal, 2011
Liu Yijun, Zhu Mingfang, Tang Jiali, Zhu Guangping, Jiang Hongfen   +4 more
openaire   +1 more source

Development of ocean color algorithms for estimating chlorophyll-a concentrations and inherent optical properties using gene expression programming (GEP)

Optics Express, 2015
This paper proposes new inversion algorithms for the estimation of Chlorophyll-a concentration (Chla) and the ocean's inherent optical properties (IOPs) from the measurement of remote sensing reflectance (Rrs). With in situ data from the NASA bio-optical marine algorithm data set (NOMAD), inversion algorithms were developed by the novel gene expression
openaire   +2 more sources

AI-powered interpretable models for the abrasion resistance of steel fiber-reinforced concrete in hydraulic conditions

Case Studies in Construction Materials
Significant financial losses have arisen from the failure of concrete in hydraulic structures due to excessive levels of abrasion. Despite significant advancements in this field, the construction of durable hydraulic concrete structures capable of ...
Muhammad Nasir Amin, Roz-Ud-Din Nassar, Siyab Ul Arifeen, Muhammad Tahir Qadir, Fahad Alsharari, Muhammad Iftikhar Faraz   +5 more
doaj   +1 more source

Use of gene expression programming to predict reference evapotranspiration in different climatic conditions

Applied Water Science
Evapotranspiration plays a pivotal role in the hydrological cycle. It is essential to develop an accurate computational model for predicting reference evapotranspiration (RET) for agricultural and hydrological applications, especially for the management ...
Ali Raza, Dinesh Kumar Vishwakarma, Siham Acharki, Nadhir Al-Ansari, Fahad Alshehri, A. Elbeltagi   +5 more
semanticscholar   +1 more source