Evaluate the compressive strength of fiber-reinforced geopolymer concrete incorporating ground granulated blast furnace slag with machine learning approach.
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| Title: | Evaluate the compressive strength of fiber-reinforced geopolymer concrete incorporating ground granulated blast furnace slag with machine learning approach. |
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| Authors: | Rahman Sobuz MH; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Kabbo MKI; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Mazumder S; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Hoque SMFAB; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Akon MK; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Alameri M; Civil Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, Makkah, 24382, Saudi Arabia., Jameel M; Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia., Abubakar SA; Department of Civil Engineering, Kampala International University, Western Campus, Ishaka -Bushenyi, Western Region, Kampala, Uganda. saliyu@kiu.ac.ug. |
| Source: | Scientific reports [Sci Rep] 2026 May 08; Vol. 16 (1). Date of Electronic Publication: 2026 May 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42103840 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluate the compressive strength of fiber-reinforced geopolymer concrete incorporating ground granulated blast furnace slag with machine learning approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Rahman+Sobuz+MH%22">Rahman Sobuz MH</searchLink>; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Kabbo+MKI%22">Kabbo MKI</searchLink>; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Mazumder+S%22">Mazumder S</searchLink>; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Hoque+SMFAB%22">Hoque SMFAB</searchLink>; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Akon+MK%22">Akon MK</searchLink>; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Alameri+M%22">Alameri M</searchLink>; Civil Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, Makkah, 24382, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Jameel+M%22">Jameel M</searchLink>; Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Abubakar+SA%22">Abubakar SA</searchLink>; Department of Civil Engineering, Kampala International University, Western Campus, Ishaka -Bushenyi, Western Region, Kampala, Uganda. saliyu@kiu.ac.ug. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 May 08; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 May 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42103840 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-51133-6 Languages: – Code: eng Text: English Titles: – TitleFull: Evaluate the compressive strength of fiber-reinforced geopolymer concrete incorporating ground granulated blast furnace slag with machine learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rahman Sobuz MH – PersonEntity: Name: NameFull: Kabbo MKI – PersonEntity: Name: NameFull: Mazumder S – PersonEntity: Name: NameFull: Hoque SMFAB – PersonEntity: Name: NameFull: Akon MK – PersonEntity: Name: NameFull: Alameri M – PersonEntity: Name: NameFull: Jameel M – PersonEntity: Name: NameFull: Abubakar SA IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 05 Text: 2026 May 08 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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