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Predicting Marshall Flow and Marshall Stability of Asphalt Pavements Using Multi Expression Programming [PDF]

open access: yesBuildings, 2022
The traditional method to obtain optimum bitumen content and the relevant parameters of asphalt pavements entails time-consuming, complicated and expensive laboratory procedures and requires skilled personnel.
Hamad Hassan Awan   +7 more
doaj   +13 more sources

Crack width prediction of self-healing engineered cementitious composite using multi-expression programming

open access: yesJournal of Materials Research and Technology, 2023
Concrete structures are prone to cracking due to environmental damage and/or tensile strain. Self-healing concrete has garnered scientific interest in recent years as it addresses the cracking problem and extends the service life of concrete structures ...
Fadi Althoey   +7 more
doaj   +4 more sources

Forecasting Strength of CFRP Confined Concrete Using Multi Expression Programming. [PDF]

open access: yesMaterials (Basel), 2021
This study provides the application of a machine learning-based algorithm approach names “Multi Expression Programming” (MEP) to forecast the compressive strength of carbon fiber-reinforced polymer (CFRP) confined concrete. The suggested computational Multiphysics model is based on previously reported experimental results.
Ilyas I   +6 more
europepmc   +4 more sources

Forecasting Compressive Strength of RHA Based Concrete Using Multi-Expression Programming. [PDF]

open access: yesMaterials (Basel), 2022
Rice husk ash (RHA) is a significant pollutant produced by agricultural sectors that cause a malignant outcome to the environment. To encourage the re-use of RHA, this work used multi expression programming (MEP) to construct an empirical model for forecasting the compressive nature of concrete made with RHA (CRHA) as a cement substitute.
Amin MN   +8 more
europepmc   +3 more sources

Software Effort Estimation Using Multi Expression Programming [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2014
The process of finding a function that can estimate the effort of software systems is considered to be the most important and most complex process facing systems developers in the field of software engineering.
Najla Al-Saati, Taghreed Alreffaee
doaj   +2 more sources

Multi Expression Programming Model for Strength Prediction of Fly-Ash-Treated Alkali-Contaminated Soils. [PDF]

open access: yesMaterials (Basel), 2022
Rapid industrialization is leading to the pollution of underground natural soil by alkali concentration which may cause problems for the existing expansive soil in the form of producing expanding lattices. This research investigates the effect of stabilizing alkali-contaminated soil by using fly ash.
Khan K   +7 more
europepmc   +3 more sources

New design equations for elastic modulus of concrete using multi expression programming

open access: yesJournal of Civil Engineering and Management, 2015
An innovative multi expression programming (MEP) approach is used to derive new predictive equations for tangent elastic modulus of normal strength concrete (NSC) and high strength concrete (HSC).
Amir H. Gandomi   +4 more
doaj   +4 more sources

Computational prediction of workability and mechanical properties of bentonite plastic concrete using multi-expression programming

open access: yesScientific Reports
Bentonite plastic concrete (BPC) demonstrated promising potential for remedial cut-off wall construction to mitigate dam seepage, as it fulfills essential criteria for strength, stiffness, and permeability.
Majid Khan   +3 more
doaj   +4 more sources

Multi Expression Programming [PDF]

open access: yes, 2021
Abstract Multi Expression Programming (MEP) is a new evolutionary paradigm intended for solving computationally difficult problems. MEP individuals are linear entities that encode complex computer programs. MEP chromosomes are represented in the same way as C or Pascal compilers translate mathematical expressions into machine code.
Mihai Oltean, D. Dumitrescu
openaire   +2 more sources

A Comparison of Several AI Techniques for Authorship Attribution on Romanian Texts

open access: yesMathematics, 2022
Determining the author of a text is a difficult task. Here, we compare multiple Artificial Intelligence techniques for classifying literary texts written by multiple authors by taking into account a limited number of speech parts (prepositions, adverbs ...
Sanda-Maria Avram, Mihai Oltean
doaj   +1 more source

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