Výsledky vyhľadávania - "Multi Expression Programming"

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

Autori: Khan, Majid Ali, Mujahid Najeh, Taoufik a ďalší

Zdroj: Scientific Reports. 14(1)

Predmety: Bentonite plastic concrete, Machine learning, Mechanical properties, MEP, Slump, Operation and Maintenance Engineering, Drift och underhållsteknik

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-104889
https://doi.org/10.1038/s41598-024-56088-0

Quantification and forecast of GHG emissions from municipal solid wastes by multi-expression programming method

Autori: Yuan-Yuan, Luo Yi-Xin, Yang Sheng, Zhou a ďalší

Zdroj: Waste Management. 187:225-234

Predmety: Greenhouse Gases, China, Air Pollutants, Waste Disposal Facilities, Incineration, Models, Theoretical, Solid Waste, Refuse Disposal, Forecasting, Environmental Monitoring

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39067199

Unsteady heat transfer and entropy analysis in a cavity with different fin shapes: A numerical and multi-expression programming approach

Autori: Aneela Bibi Naeem Ullah Lihua Wang

Zdroj: Physics of Fluids. 37

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

Autori: Fadi Althoey Nadhim Hamah Sor Haitham M. Hadidi a ďalší

Zdroj: Journal of Materials Research and Technology, Vol 24, Iss, Pp 918-927 (2023)

Predmety: Mining engineering. Metallurgy, Self-healing, TN1-997, 0211 other engineering and technologies, Engineering cementitious composites, 02 engineering and technology, Parametric analysis, Multi-expression programming, 0201 civil engineering

Prístupová URL adresa: https://doaj.org/article/11914d1a5b824d7cb58f622d9f2c614a

Artificial intelligence-based multi-expression programming prediction of magnetized radiative nanofluid flow between coaxial deformable tubes

Autori: Bilal Ahmed Dong Liu Bouthaina Dammak a ďalší

Zdroj: Case Studies in Thermal Engineering, Vol 74, Iss , Pp 106825- (2025)

Predmety: Nanomaterial, Magnetohydrodynamic, Endoscopy, Convective constraints, Machine learning, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214157X25010858; https://doaj.org/toc/2214-157X

Prístupová URL adresa: https://doaj.org/article/1ef0bd4b3c9e4581b50613a9602a3bd0

Developing robust structure: Multi‐expression programming for anticipating mechanical properties of shape memory alloy‐confined concrete cylinders

Autori: Saeed Eilbeigi Mohammadreza Tavakkolizadeh Amir R. Masoodi

Zdroj: Structural Concrete.

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

Autori: Adeel Zafar M. Ijaz Khan Hong-Hu Chu a ďalší

Zdroj: Ain Shams Engineering Journal, Vol 12, Iss 4, Pp 3603-3617 (2021)

Predmety: Multi expression programming (MEP), Fly-ash, 0211 other engineering and technologies, 02 engineering and technology, Engineering (General). Civil engineering (General), Artificial intelligence (AI), 7. Clean energy, 12. Responsible consumption, 0201 civil engineering, 13. Climate action, Waste material, 11. Sustainability, Gene expression programming (GEP), TA1-2040, Geopolymer concrete (GPC)

Prístupová URL adresa: https://doaj.org/article/5a4058d33bd748e8b41479e25320ab54
https://www.sciencedirect.com/science/article/pii/S2090447921001830
https://www.sciencedirect.com/science/article/abs/pii/S2090447921001830

Intelligent optimization of thermal performance in nanoparticle-enhanced enclosures with sinusoidal heating and magnetic field interaction using Multi Expression Programming

Autori: Naeem Ullah Aneela Bibi Dianchen Lu

Zdroj: Physics of Fluids. 36

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prediction of municipal waste generation using multi-expression programming for circular economy: a data-driven approach

Autori: Ayodeji Sulaiman, Olawore Kuan Yew, Wong Kamoru Olufemi, Oladosu

Zdroj: Environmental Science and Pollution Research.

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39460868

Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)

Autori: Sultan Shah Moustafa Houda Sangeen Khan a ďalší

Zdroj: Journal of Materials Research and Technology, Vol 25, Iss, Pp 5720-5740 (2023)

Predmety: Mining engineering. Metallurgy, Sustainability, TN1-997, 0211 other engineering and technologies, Machine learning (ML), Mechanical behaviour, 02 engineering and technology, Electronic waste, Artificial intelligence (AI), 0201 civil engineering

Prístupová URL adresa: https://doaj.org/article/16a48949060b447bb9ded49150b208bd

Multi-expression programming for enhancing MHD heat transfer in a nanofluid-filled enclosure with heat generation and viscous dissipation

Autori: Naeem Ullah Aneela Bibi Dianchen Lu

Zdroj: Computer Physics Communications. 313:109649

Automating the Seismic Design of Reinforced Concrete Rectangular Columns Employing Multi-Expression Programming: Towards the Automated Design of Reinforced Concrete Structures

Autori: Muhammad Faisal Javed Raheel Asghar Sardar Kashir Ur Rehman

Zdroj: Advances in Mechatronics and Mechanical Engineering ISBN: 9798369321614

Machine learning-based landslide velocity prediction model: incorporating multi- expression programming and discrete element modeling

Autori: Hasnain Gardezi Xingyue Li Yu Huang

Multi expression programming and interpretable machine learning for determining compressive strength of coral sand aggregate concrete

Autori: Kamran Ehsan Abdinor Hussein Mohamed Waleed Bin Inqiad a ďalší

Zdroj: Materials Today Communications. 45:112370

Prediction of Rapid Chloride Penetration Resistance of Metakaolin Based Concrete Using Multi-Expression Programming

Autori: Hassan Ali Alkadhim Muhammad Nasir Amin Izaz Ahmad a ďalší

Zdroj: Science of Advanced Materials. 14:1348-1360

Predmety: 0211 other engineering and technologies, 02 engineering and technology

Prediction of stiffness modulus of bituminous mixtures using the applications of multi-expression programming and gene expression programming

Autori: Lee P. Leon Hazi Azamathulla Portia Felix a ďalší

Zdroj: Road Materials and Pavement Design. 24:2192-2208

Predmety: 0211 other engineering and technologies, 02 engineering and technology, 0201 civil engineering

INNOVATIVE PROTECTION AGAINST THE SCOUR AT OUTLETS OF CYLINDRICAL CULVERTS AND APPLICATION USING MULTI EXPRESSION PROGRAMMING TECHNIQUE (MEP)

Autori: Nassar M.A.

Zdroj: Engineering Heritage Journal, Vol 6, Iss 1, Pp 14-18 (2022)

Predmety: scour, pool, tube, culverts, TA1-2040, artificial intelligence, Engineering (General). Civil engineering (General), 6. Clean water

Prístupová URL adresa: https://doaj.org/article/7c5aca804baa4698bd49e67a2c37984f

Performance analysis of RHA based bacterial concrete for industrial applications using multi expression programming

Autori: Vishvajit Bhaskar Kokate Deepak Narayan Paithankar

Zdroj: AIP Conference Proceedings. 3175:020089

基于改进的多表达式编程算法的 木材染色配方预测.

Alternate Title: Prediction of Wood Dyeing Formula Based on Improved Multi Expression Programming Algorithm.

Autori: 管雪梅 张威 杨渠三

Zdroj: Science Technology & Engineering. 2025, Vol. 25 Issue 7, p2865-2873. 9p.

Estimation of 28-Day Compressive Strength of Self-Compacting Concrete Using Multi Expression Programming (MEP): An Artificial Intelligence Approach

Autori: Waleed Bin Inqiad

Zdroj: Engineering Proceedings, Vol 56, Iss 1, p 212 (2023)

Predmety: artificial intelligence (AI), multi-expression programming (MEP), self-compacting concrete (SCC), Engineering machinery, tools, and implements, TA213-215

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2673-4591/56/1/212; https://doaj.org/toc/2673-4591

Prístupová URL adresa: https://doaj.org/article/4d5e7b9c3a8c4d9c9ad36d94b98ce4e2