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1 Ergebnisse
1
Forecasting the strength of preplaced aggregate concrete us..:
Javed, Muhammad Faisal
;
Fawad, Muhammad
;
Lodhi, Rida
..
Scientific Reports, 2024, 14,. , 2024
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-10517
RT Journal T1
Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approaches
UL https://suche.suub.uni-bremen.de/peid=base-ftluleatu:oai:DiVA.org:ltu-105176&Exemplar=1&LAN=DE A1 Javed, Muhammad Faisal A1 Fawad, Muhammad A1 Lodhi, Rida A1 Najeh, Taoufik A1 Gamil, Yaser PB Luleå tekniska universitet, Drift, underhåll och akustik; Silesian University of Technology Poland, Gliwice, Poland; Budapest University of Technology and Economics Hungary, Budapest, Hungary; Department of Urban and Regional Planning, National University of Sciences and Technology (NUST), Islamabad, Pakistan; Department of Civil Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia YR 2024 K1 Preplaced aggregate concrete K1 Two-stage concrete K1 Compressive strength prediction K1 Machine learning models K1 Construction engineering K1 Infrastructure Engineering K1 Infrastrukturteknik K1 Computer Sciences K1 Datavetenskap (datalogi) JF Scientific Reports, 2024, 14, LK http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-105176 DO http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-105176 SF ELIB - SuUB Bremen
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