ANFIS modelling of the strength properties of natural rubber latex modified concrete

The increasing demand for sustainable construction materials has driven research into innovative modifications to enhance concrete performance while reducing environmental impact. This study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Discover applied sciences Ročník 7; číslo 5; s. 472 - 37
Hlavní autoři: Nyah, Efiok Etim, Onwuka, David Ogbonna, Arimanwa, Joan Ijeoma, Alaneme, George Uwadiegwu, Nakkeeran, G., Onwuka, Ulari Sylvia, Okere, Chinenye Elizabeth
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 09.05.2025
Springer Nature B.V
Springer
Témata:
Accuracy
Adaptive systems
Algorithms
Aluminum
Applied and Technical Physics
Artificial intelligence
Calcium sulfate
Cement
Chemistry/Food Science
Compressive strength
Concrete mixing
Concrete structures
Construction
Destabilization
Durability
Earth Sciences
Engineering
Environment
Environmental impact
Fuzzy logic
Green infrastructure
Latex
Machine learning
Materials Science
Mechanical properties
Microstructural analysis
Natural rubber
Natural rubber latex
Neural networks
Neuro-fuzzy models
Optimization
Porosity
Regression analysis
Renewable resources
Research methodology
Resource utilization
Rubber
Scanning electron microscopy
Splitting
Sustainability
Sustainable concrete
Sustainable development
Sustainable materials
Tensile properties
Tensile strength
X-ray spectroscopy
Artificial intelligence
Neuro-fuzzy models
Natural rubber latex
Sustainable concrete
ISSN:3004-9261, 2523-3963, 3004-9261, 2523-3971
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract The increasing demand for sustainable construction materials has driven research into innovative modifications to enhance concrete performance while reducing environmental impact. This study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy Inference System (ANFIS), a hybrid AI model that integrates fuzzy logic and neural networks for precise property prediction. The justification for this study stems from the need for an eco-friendly, high-performance alternative to conventional concrete, leveraging renewable natural rubber latex (NRL) to improve mechanical properties and durability. Laboratory experiments were conducted to evaluate the effects of varying NRL and calcium sulfate (CaSO 4 ) contents on compressive, flexural, and splitting tensile strength. Results showed that an optimal mix of 10% NRL and 2% CaSO 4 achieved a compressive strength of 44.27 MPa, while 9% NRL and 1.8% CaSO 4 yielded peak flexural and splitting tensile strengths of 12.33 MPa and 5.1 MPa, respectively. Beyond these thresholds, mechanical properties declined due to matrix destabilization. Microstructural analysis using Scanning Electron Microscopy and Energy Dispersive X-ray Spectroscopy confirmed NRL’s role in reducing porosity and enhancing matrix uniformity. The ANFIS model demonstrated exceptional accuracy, with low RMSE and MAPE values and a strong R 2 correlation, offering a superior predictive framework compared to traditional modeling techniques. Furthermore, SHAP analysis reveals that OPC (%) and NRL (%) are the primary contributors to compressive and tensile strength, while CaSO4 (%) has a moderate impact, particularly on flexural and tensile properties, providing valuable insights for optimizing material composition in construction applications. This research holds significant implications for sustainable infrastructure development, promoting renewable resource utilization while enhancing the durability and resilience of concrete structures. Future studies should explore hybrid AI models, long-term field performance, and additional material combinations to further optimize NRLMC’s applicability in various structural environments. Article Highlights The study optimizes Natural Rubber Latex Modified Concrete (NRLMC) using ANFIS, demonstrating improved mechanical properties with an optimal mix of 10% NRL and 2% CaSO 4 . Microstructural analysis (SEM/EDS) confirms reduced porosity and enhanced matrix uniformity, while SHAP analysis identifies OPC and NRL as key contributors to strength. The ANFIS model shows high predictive accuracy, supporting AI-driven material optimization for sustainable and durable concrete applications.
AbstractList Abstract The increasing demand for sustainable construction materials has driven research into innovative modifications to enhance concrete performance while reducing environmental impact. This study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy Inference System (ANFIS), a hybrid AI model that integrates fuzzy logic and neural networks for precise property prediction. The justification for this study stems from the need for an eco-friendly, high-performance alternative to conventional concrete, leveraging renewable natural rubber latex (NRL) to improve mechanical properties and durability. Laboratory experiments were conducted to evaluate the effects of varying NRL and calcium sulfate (CaSO4) contents on compressive, flexural, and splitting tensile strength. Results showed that an optimal mix of 10% NRL and 2% CaSO4 achieved a compressive strength of 44.27 MPa, while 9% NRL and 1.8% CaSO4 yielded peak flexural and splitting tensile strengths of 12.33 MPa and 5.1 MPa, respectively. Beyond these thresholds, mechanical properties declined due to matrix destabilization. Microstructural analysis using Scanning Electron Microscopy and Energy Dispersive X-ray Spectroscopy confirmed NRL’s role in reducing porosity and enhancing matrix uniformity. The ANFIS model demonstrated exceptional accuracy, with low RMSE and MAPE values and a strong R2 correlation, offering a superior predictive framework compared to traditional modeling techniques. Furthermore, SHAP analysis reveals that OPC (%) and NRL (%) are the primary contributors to compressive and tensile strength, while CaSO4 (%) has a moderate impact, particularly on flexural and tensile properties, providing valuable insights for optimizing material composition in construction applications. This research holds significant implications for sustainable infrastructure development, promoting renewable resource utilization while enhancing the durability and resilience of concrete structures. Future studies should explore hybrid AI models, long-term field performance, and additional material combinations to further optimize NRLMC’s applicability in various structural environments.
The increasing demand for sustainable construction materials has driven research into innovative modifications to enhance concrete performance while reducing environmental impact. This study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy Inference System (ANFIS), a hybrid AI model that integrates fuzzy logic and neural networks for precise property prediction. The justification for this study stems from the need for an eco-friendly, high-performance alternative to conventional concrete, leveraging renewable natural rubber latex (NRL) to improve mechanical properties and durability. Laboratory experiments were conducted to evaluate the effects of varying NRL and calcium sulfate (CaSO 4 ) contents on compressive, flexural, and splitting tensile strength. Results showed that an optimal mix of 10% NRL and 2% CaSO 4 achieved a compressive strength of 44.27 MPa, while 9% NRL and 1.8% CaSO 4 yielded peak flexural and splitting tensile strengths of 12.33 MPa and 5.1 MPa, respectively. Beyond these thresholds, mechanical properties declined due to matrix destabilization. Microstructural analysis using Scanning Electron Microscopy and Energy Dispersive X-ray Spectroscopy confirmed NRL’s role in reducing porosity and enhancing matrix uniformity. The ANFIS model demonstrated exceptional accuracy, with low RMSE and MAPE values and a strong R 2 correlation, offering a superior predictive framework compared to traditional modeling techniques. Furthermore, SHAP analysis reveals that OPC (%) and NRL (%) are the primary contributors to compressive and tensile strength, while CaSO4 (%) has a moderate impact, particularly on flexural and tensile properties, providing valuable insights for optimizing material composition in construction applications. This research holds significant implications for sustainable infrastructure development, promoting renewable resource utilization while enhancing the durability and resilience of concrete structures. Future studies should explore hybrid AI models, long-term field performance, and additional material combinations to further optimize NRLMC’s applicability in various structural environments. Article Highlights The study optimizes Natural Rubber Latex Modified Concrete (NRLMC) using ANFIS, demonstrating improved mechanical properties with an optimal mix of 10% NRL and 2% CaSO 4 . Microstructural analysis (SEM/EDS) confirms reduced porosity and enhanced matrix uniformity, while SHAP analysis identifies OPC and NRL as key contributors to strength. The ANFIS model shows high predictive accuracy, supporting AI-driven material optimization for sustainable and durable concrete applications.
The increasing demand for sustainable construction materials has driven research into innovative modifications to enhance concrete performance while reducing environmental impact. This study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy Inference System (ANFIS), a hybrid AI model that integrates fuzzy logic and neural networks for precise property prediction. The justification for this study stems from the need for an eco-friendly, high-performance alternative to conventional concrete, leveraging renewable natural rubber latex (NRL) to improve mechanical properties and durability. Laboratory experiments were conducted to evaluate the effects of varying NRL and calcium sulfate (CaSO4) contents on compressive, flexural, and splitting tensile strength. Results showed that an optimal mix of 10% NRL and 2% CaSO4 achieved a compressive strength of 44.27 MPa, while 9% NRL and 1.8% CaSO4 yielded peak flexural and splitting tensile strengths of 12.33 MPa and 5.1 MPa, respectively. Beyond these thresholds, mechanical properties declined due to matrix destabilization. Microstructural analysis using Scanning Electron Microscopy and Energy Dispersive X-ray Spectroscopy confirmed NRL’s role in reducing porosity and enhancing matrix uniformity. The ANFIS model demonstrated exceptional accuracy, with low RMSE and MAPE values and a strong R2 correlation, offering a superior predictive framework compared to traditional modeling techniques. Furthermore, SHAP analysis reveals that OPC (%) and NRL (%) are the primary contributors to compressive and tensile strength, while CaSO4 (%) has a moderate impact, particularly on flexural and tensile properties, providing valuable insights for optimizing material composition in construction applications. This research holds significant implications for sustainable infrastructure development, promoting renewable resource utilization while enhancing the durability and resilience of concrete structures. Future studies should explore hybrid AI models, long-term field performance, and additional material combinations to further optimize NRLMC’s applicability in various structural environments.Article HighlightsThe study optimizes Natural Rubber Latex Modified Concrete (NRLMC) using ANFIS, demonstrating improved mechanical properties with an optimal mix of 10% NRL and 2% CaSO4.Microstructural analysis (SEM/EDS) confirms reduced porosity and enhanced matrix uniformity, while SHAP analysis identifies OPC and NRL as key contributors to strength.The ANFIS model shows high predictive accuracy, supporting AI-driven material optimization for sustainable and durable concrete applications.
ArticleNumber 472
Author Okere, Chinenye Elizabeth
Alaneme, George Uwadiegwu
Nyah, Efiok Etim
Onwuka, Ulari Sylvia
Arimanwa, Joan Ijeoma
Onwuka, David Ogbonna
Nakkeeran, G.
Author_xml – sequence: 1
  givenname: Efiok Etim
  surname: Nyah
  fullname: Nyah, Efiok Etim
  email: nyahefiok@unicross.edu.ng
  organization: Department of Civil Engineering, University of Cross River State, Department of Civil Engineering, Federal University of Technology Owerri
– sequence: 2
  givenname: David Ogbonna
  surname: Onwuka
  fullname: Onwuka, David Ogbonna
  organization: Department of Civil Engineering, Federal University of Technology Owerri
– sequence: 3
  givenname: Joan Ijeoma
  surname: Arimanwa
  fullname: Arimanwa, Joan Ijeoma
  organization: Department of Civil Engineering, Federal University of Technology Owerri
– sequence: 4
  givenname: George Uwadiegwu
  surname: Alaneme
  fullname: Alaneme, George Uwadiegwu
  email: alanemeg@kiu.ac.ug
  organization: Department of Civil Engineering, School of Engineering and Applied Sciences, Kampala International University
– sequence: 5
  givenname: G.
  surname: Nakkeeran
  fullname: Nakkeeran, G.
  organization: Department of Civil Engineering, Madanapalle Institute of Technology & Science
– sequence: 6
  givenname: Ulari Sylvia
  surname: Onwuka
  fullname: Onwuka, Ulari Sylvia
  organization: Department of Project Management, Federal University of Technology Owerri
– sequence: 7
  givenname: Chinenye Elizabeth
  surname: Okere
  fullname: Okere, Chinenye Elizabeth
  organization: Department of Civil Engineering, Federal University of Technology Owerri
BookMark eNp9kc1uFDEQhC0UJELIC3AaifNAe_wz9jGKCKwUhQPhbNmeno1XE3uxvRL79ngzICIOObXVrq9UrXpLzmKKSMh7Ch8pwPip8IGLoYdB9DACh_74ipwzAN7rQdKzZ-835LKUHQAwBuMo9Dm5v7q72XzvHtOEyxLitktzVx-wKzVj3NaHbp_THnMNWE5f0dZDtkuXD85h7hZb8dcJDnPAqfMp-owV35HXs10KXv6ZF-THzef766_97bcvm-ur295zRmtPpRNgxTQzC945yt0IA1cepXAznT0duBUKFeIEGqRlk9JO6lFpSZXlnl2Qzeo7Jbsz-xwebT6aZIN5WqS8NbZF9wsaOVGvrEIxCeATymasEKxEjxScgub1YfVqB_88YKlmlw45tviGDcA05ZrpplKryudUSsbZ-FBtDSnWbMNiKJhTJWatxLRKzFMl5tjQ4T_0b-AXIbZCpYnjFvO_VC9QvwGtjaDS
CitedBy_id crossref_primary_10_3390_constrmater5030067
Cites_doi 10.1016/j.jer.2024.08.007
10.1038/s41598-023-30008-0
10.3390/ma15113934
10.1016/j.conbuildmat.2020.118319
10.1016/j.cscm.2018.e00184
10.1061/(ASCE)MT.1943-5533.0004364
10.1088/1757-899X/505/1/012108
10.3390/gels9080613
10.1007/s44290-024-00070-2
10.1016/j.conbuildmat.2019.116691
10.1177/1464420719890370
10.1108/17260531311309134
10.1061/(ASCE)0899-1561.20082010640
10.1016/j.matpr.2020.10.326
10.1016/j.conbuildmat.2019.117266
10.1016/j.msec.2021.112126
10.1016/j.conbuildmat.2018.01.073
10.3390/ma15217535
10.1016/j.conbuildmat.2011.12.099
10.1007/s42107-021-00357-0
10.1007/s42452-019-1504-2
10.1016/j.rineng.2022.100794
10.1016/j.cscm.2024.e04053
10.3390/gels8070455
10.1007/s41062-022-00908-7
10.1016/j.conbuildmat.2021.122704
10.1007/s41062-022-01031-3
10.3390/ma17184533
10.1038/s41598-025-89263-y
10.1002/suco.201800182
10.17576/jkukm-2021-33(2)-20
10.1016/j.jclepro.2015.06.099
10.1016/j.neucom.2017.09.099
10.1038/s41598-023-35445-5
10.1007/s41062-021-00713-8
10.3389/fmats.2023.1152492
10.1007/s11356-022-20989-2
10.1016/j.conbuildmat.2025.140628
10.1016/j.conbuildmat.2020.121105
10.3390/gels8050299
10.1016/j.envres.2023.116010
10.1088/1757-899x/226/1/012103
10.28991/CEJ-2024-010-08-05
10.1016/j.acme.2015.09.003
10.3390/ma15134661
10.1007/s44150-022-00069-2
10.1088/2053-1591/adb003
10.3390/polym15092066
10.1016/j.conbuildmat.2013.05.055
10.1016/j.conbuildmat.2021.124081
10.1108/EC-07-2024-0635
10.3390/ma16020598
10.1108/ACMM-12-2023-2935
10.3390/ma14247531
10.1007/s00521-024-09553-w
10.1038/s41598-023-45987-3
10.3389/fmats.2020.582635
10.1007/s42452-024-06357-4
10.1016/S0008-8846(97)00062-8
10.1016/j.conbuildmat.2017.11.146
10.1617/s11527-013-0034-4
10.1007/s11709-014-0265-7
10.1038/s41598-024-77144-9
10.1155/2019/5198583
10.1007/s43939-023-00052-8
10.1016/j.advengsoft.2013.09.004
10.1007/s40996-024-01656-7
10.3390/ma17225516
10.3390/su151914147
10.1016/j.wsj.2014.12.002
10.12989/scs.2020.34.1.155
10.1016/j.conbuildmat.2015.07.095
10.1016/j.measurement.2019.106870
10.3390/polym14071421
10.1038/s41598-024-73566-7
10.1016/j.engstruct.2021.113824
10.14382/epitoanyag-jsbcm.2023.22
10.1016/j.conbuildmat.2022.128295
ContentType Journal Article
Copyright The Author(s) 2025
Copyright Springer Nature B.V. May 2025
Copyright_xml – notice: The Author(s) 2025
– notice: Copyright Springer Nature B.V. May 2025
DBID C6C
AAYXX
CITATION
3V.
7XB
88I
8FE
8FG
8FK
ABJCF
ABUWG
AEUYN
AFKRA
ATCPS
AZQEC
BENPR
BGLVJ
BHPHI
BKSAR
CCPQU
D1I
DWQXO
GNUQQ
HCIFZ
KB.
L6V
M2P
M7S
PATMY
PCBAR
PDBOC
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
PYCSY
Q9U
DOA
DOI 10.1007/s42452-025-07040-y
DatabaseName Springer Nature OA Free Journals
CrossRef
ProQuest Central (Corporate)
ProQuest Central (purchase pre-March 2016)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
Materials Science & Engineering Collection
ProQuest Central (Alumni)
One Sustainability
ProQuest Central UK/Ireland
Agricultural & Environmental Science Collection
ProQuest Central Essentials - QC
ProQuest Central
ProQuest Technology Collection
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
ProQuest One Community College
ProQuest Materials Science Collection
ProQuest Central Korea
ProQuest Central Student
SciTech Premium Collection
Materials Science Database
ProQuest Engineering Collection
Science Database
Engineering Database
Environmental Science Database
Earth, Atmospheric & Aquatic Science Database
Materials Science Collection
Proquest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
Environmental Science Collection
ProQuest Central Basic
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
ProQuest Central Student
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
Materials Science Collection
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
ProQuest Central
Earth, Atmospheric & Aquatic Science Collection
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
ProQuest Engineering Collection
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
Materials Science Database
ProQuest Central (New)
Engineering Collection
ProQuest Materials Science Collection
Engineering Database
ProQuest Science Journals (Alumni Edition)
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
ProQuest Technology Collection
ProQuest SciTech Collection
Environmental Science Collection
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
Environmental Science Database
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
DatabaseTitleList

Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: KB.
  name: Materials Science Database
  url: http://search.proquest.com/materialsscijournals
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 3004-9261
2523-3971
EndPage 37
ExternalDocumentID oai_doaj_org_article_6d1c8a8e5d504de6a588e0a6ece10b80
10_1007_s42452_025_07040_y
GroupedDBID AAJSJ
AASML
ADMLS
ALMA_UNASSIGNED_HOLDINGS
C6C
GROUPED_DOAJ
M~E
SOJ
AAYXX
BGNMA
CITATION
EBLON
M4Y
NU0
0R~
3V.
7XB
88I
8FE
8FG
8FK
AAHNG
AAKKN
ABDZT
ABECU
ABEEZ
ABFTV
ABHQN
ABJCF
ABKCH
ABMQK
ABTMW
ABUWG
ABXPI
ACACY
ACMLO
ACOKC
ACSTC
ACULB
ADKNI
ADURQ
ADYFF
AEJRE
AEUYN
AFGXO
AFKRA
AFQWF
AGDGC
AGJBK
AILAN
AITGF
AJZVZ
AMKLP
ATCPS
AXYYD
AZQEC
BAPOH
BENPR
BGLVJ
BHPHI
BKSAR
C24
CCPQU
D1I
DWQXO
EBS
FNLPD
GNUQQ
GNWQR
HCIFZ
J-C
KB.
KOV
L6V
M2P
M7S
NQJWS
OK1
PATMY
PCBAR
PDBOC
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
PYCSY
Q9U
STPWE
TSG
UOJIU
UTJUX
VEKWB
VFIZW
ZMTXR
ID FETCH-LOGICAL-c431t-16b50a5df3a0cbb14b70248ce65bf1fc124a58e8eed0906a3d89b69789618a4c3
IEDL.DBID M2P
ISICitedReferencesCount 2
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001485492800004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 3004-9261
2523-3963
IngestDate Mon Nov 10 04:35:02 EST 2025
Wed Oct 08 14:20:39 EDT 2025
Tue Nov 18 22:29:38 EST 2025
Sat Nov 29 07:55:51 EST 2025
Sat May 10 01:10:22 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 5
Keywords Artificial intelligence
Neuro-fuzzy models
Natural rubber latex
Sustainable concrete
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c431t-16b50a5df3a0cbb14b70248ce65bf1fc124a58e8eed0906a3d89b69789618a4c3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://www.proquest.com/docview/3203914939?pq-origsite=%requestingapplication%
PQID 3203914939
PQPubID 5758472
PageCount 37
ParticipantIDs doaj_primary_oai_doaj_org_article_6d1c8a8e5d504de6a588e0a6ece10b80
proquest_journals_3203914939
crossref_citationtrail_10_1007_s42452_025_07040_y
crossref_primary_10_1007_s42452_025_07040_y
springer_journals_10_1007_s42452_025_07040_y
PublicationCentury 2000
PublicationDate 2025-05-09
PublicationDateYYYYMMDD 2025-05-09
PublicationDate_xml – month: 05
  year: 2025
  text: 2025-05-09
  day: 09
PublicationDecade 2020
PublicationPlace Cham
PublicationPlace_xml – name: Cham
– name: London
PublicationTitle Discover applied sciences
PublicationTitleAbbrev Discov Appl Sci
PublicationYear 2025
Publisher Springer International Publishing
Springer Nature B.V
Springer
Publisher_xml – name: Springer International Publishing
– name: Springer Nature B.V
– name: Springer
References A El-Khoja (7040_CR64) 2018; 12
F Liu (7040_CR24) 2013; 47
M Neelamegam (7040_CR54) 2000; 74
A Manan (7040_CR4) 2024
MSC Rao (7040_CR81) 2023; 231
DE Ewa (7040_CR35) 2023; 8
LA Mathew (7040_CR11) 2024
FA Shilar (7040_CR36) 2022; 14
J Min (7040_CR30) 2022; 8
B Vakhshouri (7040_CR73) 2018; 280
C Fu (7040_CR13) 2024; 6
IB Mustapha (7040_CR17) 2024; 36
S Sgobba (7040_CR46) 2015; 98
Q Han (7040_CR63) 2021; 268
Q Liu (7040_CR32) 2022; 8
A Manan (7040_CR76) 2025; 470
M Jalal (7040_CR6) 2020; 234
V de la Villa (7040_CR40) 2022; 15
Z Yuan (7040_CR8) 2014; 67
M Jalal (7040_CR10) 2019; 237
IC Attah (7040_CR37) 2024; 1
H Harahap (7040_CR62) 2019; 505
K Kantatham (7040_CR65) 2024; 10
FY Al-Saffar (7040_CR80) 2023; 9
A Manan (7040_CR23) 2025; 42
MZ Naser (7040_CR20) 2022; 253
CD Agor (7040_CR15) 2023; 13
HS Joseph (7040_CR39) 2022; 15
GU Alaneme (7040_CR68) 2022; 7
T Yaowarat (7040_CR61) 2021; 282
M Zailan Suleiman (7040_CR3) 2013; 11
T Ran (7040_CR47) 2023; 15
S Subash (7040_CR60) 2021; 46
A Manan (7040_CR19) 2024; 21
KB Najim (7040_CR57) 2013; 46
A Miranda (7040_CR16) 2024; 17
GU Alaneme (7040_CR38) 2023; 3
GU Alaneme (7040_CR71) 2021; 2021
BH AbdelAleem (7040_CR55) 2018; 161
B Muhammad (7040_CR83) 2012; 31
T Gupta (7040_CR58) 2019; 147
GA Akeke (7040_CR33) 2023; 13
PO Awoyera (7040_CR9) 2023; 10
K Liu (7040_CR43) 2024; 14
A Nafees (7040_CR72) 2021; 14
W Samingthong (7040_CR51) 2023; 15
M Ghasemi (7040_CR28) 2022; 29
A Alsaif (7040_CR52) 2022; 345
BS Mohammed (7040_CR53) 2014; 8
T Li (7040_CR21) 2024; 17
A Manan (7040_CR74) 2024; 71
E Khalil (7040_CR45) 2015; 29
L Hai-Bang (7040_CR56) 2021; 301
SH Okba (7040_CR2) 1997; 27
S Subash (7040_CR12) 2021; 46
NN Gerges (7040_CR34) 2018; 9
GU Alaneme (7040_CR75) 2024; 14
C Cao (7040_CR18) 2023; 17
EM Golafshani (7040_CR29) 2020; 232
EE Nyah (7040_CR48) 2023; 75
G Li (7040_CR42) 2016; 112
A Suddeepong (7040_CR49) 2022; 34
M Shariati (7040_CR70) 2020; 34
N Talpur (7040_CR26) 2017; 226
Y Li (7040_CR41) 2019; 227
X-Y Huang (7040_CR14) 2022; 15
7040_CR1
JI Obianyo (7040_CR27) 2022; 7
A Manan (7040_CR69) 2025; 12
JI Obianyo (7040_CR25) 2023; 13
X-Y Huang (7040_CR7) 2022; 15
W Feng (7040_CR44) 2018; 165
Xu Zhang Jingkui (7040_CR77) 2020; 7
F Aslani (7040_CR5) 2019; 20
T Ali (7040_CR78) 2025; 15
GC Ezeokpube (7040_CR82) 2022
Y Sun (7040_CR59) 2019; 2019
MM Reda Taha (7040_CR84) 2008; 20
U Alaneme George (7040_CR22) 2019; 1
G Sukmak (7040_CR66) 2020; 244
KC Onyelowe (7040_CR31) 2021; 33
NB Guerra (7040_CR50) 2021; 126
E Güneyisi (7040_CR67) 2016; 16
DE Ewa (7040_CR79) 2023; 16
References_xml – year: 2024
  ident: 7040_CR4
  publication-title: J Eng Res
  doi: 10.1016/j.jer.2024.08.007
– volume: 13
  start-page: 2814
  year: 2023
  ident: 7040_CR15
  publication-title: Sci Rep
  doi: 10.1038/s41598-023-30008-0
– volume: 12
  start-page: 1068
  year: 2018
  ident: 7040_CR64
  publication-title: Int J Struct Constr Eng
– volume: 15
  start-page: 3934
  year: 2022
  ident: 7040_CR14
  publication-title: Materials
  doi: 10.3390/ma15113934
– volume: 244
  year: 2020
  ident: 7040_CR66
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2020.118319
– volume: 9
  year: 2018
  ident: 7040_CR34
  publication-title: Case Stud Constr Mater
  doi: 10.1016/j.cscm.2018.e00184
– volume: 34
  start-page: 04022215
  year: 2022
  ident: 7040_CR49
  publication-title: J Mater Civ Eng
  doi: 10.1061/(ASCE)MT.1943-5533.0004364
– volume: 505
  issue: 1
  year: 2019
  ident: 7040_CR62
  publication-title: IOP Conf Ser: Mater Sci Eng
  doi: 10.1088/1757-899X/505/1/012108
– volume: 9
  start-page: 613
  issue: 8
  year: 2023
  ident: 7040_CR80
  publication-title: Gels
  doi: 10.3390/gels9080613
– ident: 7040_CR1
– volume: 1
  start-page: 73
  year: 2024
  ident: 7040_CR37
  publication-title: Discov Civ Eng
  doi: 10.1007/s44290-024-00070-2
– volume: 227
  year: 2019
  ident: 7040_CR41
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2019.116691
– volume: 237
  start-page: 90370
  year: 2019
  ident: 7040_CR10
  publication-title: J Mater Des Appl
  doi: 10.1177/1464420719890370
– volume: 11
  start-page: 59
  issue: 1
  year: 2013
  ident: 7040_CR3
  publication-title: J Eng Des Technol
  doi: 10.1108/17260531311309134
– volume: 20
  start-page: 640
  issue: 10
  year: 2008
  ident: 7040_CR84
  publication-title: J Mater Civ Eng
  doi: 10.1061/(ASCE)0899-1561.20082010640
– volume: 46
  start-page: 4859
  issue: Part 10
  year: 2021
  ident: 7040_CR12
  publication-title: Mater Today: Proc
  doi: 10.1016/j.matpr.2020.10.326
– volume: 232
  start-page: 117266
  year: 2020
  ident: 7040_CR29
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2019.117266
– volume: 126
  year: 2021
  ident: 7040_CR50
  publication-title: Mater Sci Eng C Mater Biol Appl
  doi: 10.1016/j.msec.2021.112126
– volume: 165
  start-page: 675
  year: 2018
  ident: 7040_CR44
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2018.01.073
– volume: 15
  start-page: 7535
  issue: 21
  year: 2022
  ident: 7040_CR39
  publication-title: Materials (Basel)
  doi: 10.3390/ma15217535
– volume: 31
  start-page: 129
  year: 2012
  ident: 7040_CR83
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2011.12.099
– volume: 2021
  start-page: 959
  issue: 22
  year: 2021
  ident: 7040_CR71
  publication-title: Asian J Civ Eng
  doi: 10.1007/s42107-021-00357-0
– volume: 1
  start-page: 1514
  year: 2019
  ident: 7040_CR22
  publication-title: M SN Appl Sci
  doi: 10.1007/s42452-019-1504-2
– volume: 17
  start-page: 100794
  year: 2023
  ident: 7040_CR18
  publication-title: Results Eng
  doi: 10.1016/j.rineng.2022.100794
– volume: 21
  start-page: e04053
  year: 2024
  ident: 7040_CR19
  publication-title: Case Stud Constr Mater
  doi: 10.1016/j.cscm.2024.e04053
– volume: 8
  start-page: 455
  issue: 7
  year: 2022
  ident: 7040_CR32
  publication-title: Gels
  doi: 10.3390/gels8070455
– volume: 7
  start-page: 304
  year: 2022
  ident: 7040_CR27
  publication-title: Innov Infrastruct Solut
  doi: 10.1007/s41062-022-00908-7
– volume: 282
  year: 2021
  ident: 7040_CR61
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2021.122704
– volume: 8
  start-page: 64
  year: 2023
  ident: 7040_CR35
  publication-title: Innov Infrastruct Solut
  doi: 10.1007/s41062-022-01031-3
– volume: 17
  start-page: 4533
  issue: 18
  year: 2024
  ident: 7040_CR21
  publication-title: Materials (Basel)
  doi: 10.3390/ma17184533
– volume: 15
  start-page: 4997
  year: 2025
  ident: 7040_CR78
  publication-title: Sci Rep
  doi: 10.1038/s41598-025-89263-y
– volume: 20
  start-page: 267
  year: 2019
  ident: 7040_CR5
  publication-title: Struct Concr
  doi: 10.1002/suco.201800182
– volume: 33
  start-page: 365
  issue: 2
  year: 2021
  ident: 7040_CR31
  publication-title: Jurnal Kejuruteraan
  doi: 10.17576/jkukm-2021-33(2)-20
– volume: 112
  start-page: 797
  year: 2016
  ident: 7040_CR42
  publication-title: J Clean Prod
  doi: 10.1016/j.jclepro.2015.06.099
– volume: 280
  start-page: 13
  year: 2018
  ident: 7040_CR73
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2017.09.099
– volume: 13
  start-page: 8199
  year: 2023
  ident: 7040_CR25
  publication-title: Sci Rep
  doi: 10.1038/s41598-023-35445-5
– volume: 7
  start-page: 122
  year: 2022
  ident: 7040_CR68
  publication-title: Innov Infrastruct Solut
  doi: 10.1007/s41062-021-00713-8
– volume: 10
  start-page: 1152492
  year: 2023
  ident: 7040_CR9
  publication-title: Front Mater
  doi: 10.3389/fmats.2023.1152492
– volume: 29
  start-page: 72839
  issue: 48
  year: 2022
  ident: 7040_CR28
  publication-title: Environ Sci Pollut Res Int
  doi: 10.1007/s11356-022-20989-2
– volume: 470
  start-page: 140628
  year: 2025
  ident: 7040_CR76
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2025.140628
– volume: 268
  year: 2021
  ident: 7040_CR63
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2020.121105
– volume: 46
  start-page: 4859
  year: 2021
  ident: 7040_CR60
  publication-title: Mater Today: Proc
  doi: 10.1016/j.matpr.2020.10.326
– volume: 8
  start-page: 299
  issue: 5
  year: 2022
  ident: 7040_CR30
  publication-title: Gels
  doi: 10.3390/gels8050299
– volume: 231
  start-page: 116010
  year: 2023
  ident: 7040_CR81
  publication-title: Environ Res
  doi: 10.1016/j.envres.2023.116010
– volume: 226
  year: 2017
  ident: 7040_CR26
  publication-title: IOP Conf Ser: Mater Sci Eng
  doi: 10.1088/1757-899x/226/1/012103
– volume: 10
  start-page: 5
  issue: 8
  year: 2024
  ident: 7040_CR65
  publication-title: Civ Eng J
  doi: 10.28991/CEJ-2024-010-08-05
– volume: 16
  start-page: 9
  year: 2016
  ident: 7040_CR67
  publication-title: Arch Civ Mech Eng
  doi: 10.1016/j.acme.2015.09.003
– volume: 15
  start-page: 4661
  issue: 13
  year: 2022
  ident: 7040_CR40
  publication-title: Materials (Basel)
  doi: 10.3390/ma15134661
– year: 2022
  ident: 7040_CR82
  publication-title: Archit Struct Constr
  doi: 10.1007/s44150-022-00069-2
– volume: 12
  issue: 2
  year: 2025
  ident: 7040_CR69
  publication-title: Mater Res Express
  doi: 10.1088/2053-1591/adb003
– volume: 15
  start-page: 2066
  year: 2023
  ident: 7040_CR47
  publication-title: Polymers
  doi: 10.3390/polym15092066
– volume: 47
  start-page: 711
  year: 2013
  ident: 7040_CR24
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2013.05.055
– volume: 301
  year: 2021
  ident: 7040_CR56
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2021.124081
– volume: 234
  start-page: 438
  issue: 3
  year: 2020
  ident: 7040_CR6
  publication-title: Proc Inst Mech Eng
  doi: 10.1177/1464420719890370
– volume: 42
  start-page: 388
  issue: 1
  year: 2025
  ident: 7040_CR23
  publication-title: Eng Comput
  doi: 10.1108/EC-07-2024-0635
– volume: 16
  start-page: 598
  issue: 2
  year: 2023
  ident: 7040_CR79
  publication-title: Materials
  doi: 10.3390/ma16020598
– volume: 71
  start-page: 562
  issue: 5
  year: 2024
  ident: 7040_CR74
  publication-title: Anti-Corros Methods Mater
  doi: 10.1108/ACMM-12-2023-2935
– volume: 15
  start-page: 3934
  issue: 11
  year: 2022
  ident: 7040_CR7
  publication-title: Materials
  doi: 10.3390/ma15113934
– volume: 14
  start-page: 7531
  issue: 24
  year: 2021
  ident: 7040_CR72
  publication-title: Materials (Basel)
  doi: 10.3390/ma14247531
– volume: 36
  start-page: 9245
  year: 2024
  ident: 7040_CR17
  publication-title: Neural Comput Appl
  doi: 10.1007/s00521-024-09553-w
– volume: 13
  start-page: 18583
  year: 2023
  ident: 7040_CR33
  publication-title: Sci Rep
  doi: 10.1038/s41598-023-45987-3
– volume: 7
  year: 2020
  ident: 7040_CR77
  publication-title: Front Mater
  doi: 10.3389/fmats.2020.582635
– volume: 6
  start-page: 648
  year: 2024
  ident: 7040_CR13
  publication-title: Discov Appl Sci
  doi: 10.1007/s42452-024-06357-4
– volume: 27
  start-page: 861
  year: 1997
  ident: 7040_CR2
  publication-title: Cem Concr Res
  doi: 10.1016/S0008-8846(97)00062-8
– volume: 161
  start-page: 389
  year: 2018
  ident: 7040_CR55
  publication-title: Construct Build Mater
  doi: 10.1016/j.conbuildmat.2017.11.146
– volume: 46
  start-page: 2029
  year: 2013
  ident: 7040_CR57
  publication-title: Mater Struct
  doi: 10.1617/s11527-013-0034-4
– volume: 8
  start-page: 270
  year: 2014
  ident: 7040_CR53
  publication-title: Front Struct Civ Eng
  doi: 10.1007/s11709-014-0265-7
– volume: 14
  start-page: 26151
  year: 2024
  ident: 7040_CR75
  publication-title: Sci Rep
  doi: 10.1038/s41598-024-77144-9
– volume: 2019
  start-page: 5198583
  year: 2019
  ident: 7040_CR59
  publication-title: Adv Civ Eng
  doi: 10.1155/2019/5198583
– volume: 3
  start-page: 14
  year: 2023
  ident: 7040_CR38
  publication-title: Discov Mater
  doi: 10.1007/s43939-023-00052-8
– volume: 67
  start-page: 156
  year: 2014
  ident: 7040_CR8
  publication-title: Adv Eng Softw
  doi: 10.1016/j.advengsoft.2013.09.004
– year: 2024
  ident: 7040_CR11
  publication-title: Iran J Sci Technol Trans Civ Eng
  doi: 10.1007/s40996-024-01656-7
– volume: 17
  start-page: 5516
  issue: 22
  year: 2024
  ident: 7040_CR16
  publication-title: Materials (Basel)
  doi: 10.3390/ma17225516
– volume: 15
  start-page: 14147
  issue: 19
  year: 2023
  ident: 7040_CR51
  publication-title: Sustainability
  doi: 10.3390/su151914147
– volume: 29
  start-page: 45
  year: 2015
  ident: 7040_CR45
  publication-title: Water Sci
  doi: 10.1016/j.wsj.2014.12.002
– volume: 34
  start-page: 155
  year: 2020
  ident: 7040_CR70
  publication-title: Steel Compos Struct
  doi: 10.12989/scs.2020.34.1.155
– volume: 74
  start-page: 472
  year: 2000
  ident: 7040_CR54
  publication-title: Indian Concr J
– volume: 98
  start-page: 820
  year: 2015
  ident: 7040_CR46
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2015.07.095
– volume: 147
  year: 2019
  ident: 7040_CR58
  publication-title: Measurement
  doi: 10.1016/j.measurement.2019.106870
– volume: 14
  start-page: 1421
  issue: 7
  year: 2022
  ident: 7040_CR36
  publication-title: Polymers (Basel)
  doi: 10.3390/polym14071421
– volume: 14
  start-page: 23037
  issue: 1
  year: 2024
  ident: 7040_CR43
  publication-title: Sci Rep
  doi: 10.1038/s41598-024-73566-7
– volume: 253
  start-page: 113824
  year: 2022
  ident: 7040_CR20
  publication-title: Eng Struct
  doi: 10.1016/j.engstruct.2021.113824
– volume: 75
  start-page: 154
  issue: 4
  year: 2023
  ident: 7040_CR48
  publication-title: Epitoanyag J Silic Based Compos Mater
  doi: 10.14382/epitoanyag-jsbcm.2023.22
– volume: 345
  year: 2022
  ident: 7040_CR52
  publication-title: Constr Build Mater
  doi: 10.1016/j.conbuildmat.2022.128295
SSID ssj0003307759
ssj0002793483
ssib051670015
Score 2.304705
Snippet The increasing demand for sustainable construction materials has driven research into innovative modifications to enhance concrete performance while reducing...
Abstract The increasing demand for sustainable construction materials has driven research into innovative modifications to enhance concrete performance while...
SourceID doaj
proquest
crossref
springer
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 472
SubjectTerms Accuracy
Adaptive systems
Algorithms
Aluminum
Applied and Technical Physics
Artificial intelligence
Calcium sulfate
Cement
Chemistry/Food Science
Compressive strength
Concrete mixing
Concrete structures
Construction
Destabilization
Durability
Earth Sciences
Engineering
Environment
Environmental impact
Fuzzy logic
Green infrastructure
Latex
Machine learning
Materials Science
Mechanical properties
Microstructural analysis
Natural rubber
Natural rubber latex
Neural networks
Neuro-fuzzy models
Optimization
Porosity
Regression analysis
Renewable resources
Research methodology
Resource utilization
Rubber
Scanning electron microscopy
Splitting
Sustainability
Sustainable concrete
Sustainable development
Sustainable materials
Tensile properties
Tensile strength
X-ray spectroscopy
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELVQxYELKgLE0lL5wA0s7MRfObYVK7iskChSb5btjEulalul2Yr-e2a82e2HBFyQckpsx3qeZGbizHuMvbeQwTQehCnaCd1aK5LPRbQ2NjlnpWIqVWzCLRb-9LT7dk_qi_4JW9MDr4H7ZHuVffRgeiN1DzYa70FGuoeSyddsXbruXjJF72DM0p0z3VQlU2vlaIuvEaTeilaupbh94IkqYf-DKPPRxmj1N_Nd9nwKFPnheoIv2BNYvmQnh4v51--8ytdQHTm_LBwjOE4VH8uz8Se_om_rA5Gk0qXK2omDDKuUYOAXGFf-os7nBQNPjpkwhowjvGI_5p9Pjr-ISRdBZHT3o1A2GRlNX9ooc0pKJ0fMZBmsSUWVjC4bUQKP7k920sa2912ymC6SukvUuX3NdpaXS3jDODjQmFvrqMDoVMBnF3GICLIoU7KbMbXBKOSJNJy0Ky7Clu644hoQ11BxDbcz9mHb52pNmfHX1kcE_bYl0V3XE2gEYTKC8C8jmLH9zcKF6Rm8Dm1D7Pe6a7sZ-7hZzLvLf57S2_8xpT32rKnGhke3z3bGYQXv2NN8M55fDwfVWn8DlSDuhg
  priority: 102
  providerName: Directory of Open Access Journals
Title ANFIS modelling of the strength properties of natural rubber latex modified concrete
URI https://link.springer.com/article/10.1007/s42452-025-07040-y
https://www.proquest.com/docview/3203914939
https://doaj.org/article/6d1c8a8e5d504de6a588e0a6ece10b80
Volume 7
WOSCitedRecordID wos001485492800004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0003307759
  issn: 3004-9261
  databaseCode: DOA
  dateStart: 20240101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0003307759
  issn: 3004-9261
  databaseCode: M~E
  dateStart: 20240101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: Earth, Atmospheric & Aquatic Science Database
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: PCBAR
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/eaasdb
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Engineering Database
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: M7S
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Environmental Science Database
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: PATMY
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/environmentalscience
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Materials Science Database
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: KB.
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/materialsscijournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: BENPR
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Publicly Available Content Database
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: PIMPY
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Science Database
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: M2P
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/sciencejournals
  providerName: ProQuest
– providerCode: PRVAVX
  databaseName: Springer Nature OA Free Journals
  customDbUrl:
  eissn: 3004-9261
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002793483
  issn: 3004-9261
  databaseCode: C24
  dateStart: 20210101
  isFulltext: true
  titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22
  providerName: Springer Nature
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3Nb9MwFLdg4wAHvhGFUeXADQx2YjvOCbVTKya0KtqGNE6R7dhjaGpL2iF24W_nPc_pGBK7IEWOFDtWnPfs9_PH-z1CXivvvMy1pzKIkopCKWq1C7RQJnfOcW5siMEmytlMHx9XdVpwW6Vjlf2YGAfqduFwjfx9kSOXuaiK6sPyO8WoUbi7mkJo3CbbgGw4Hunaz-tenyRHH5Rk7r7FTbaqEJGZM4f5Fy1A-ZIfTfSmw03AnGJ8V-gHgtGLa7YqUvpfw6F_bZ1GizR98L9teUjuJyyajS6V5xG55eePyb0_GAqfkKPRbLp3mMV4Oei4ni1CBpAxQxeT-cn6a7bExfwOWVkxK9KEQpXdubW-y84AyP7El08DIN0Mpt6AUdf-Kfk8nRztfqQpEAN1gC_WlCsrmZFtKAxz1nJhS6RCc15JG3hwgBGM1F6DvWUVU6ZodWUVzE8xnIwRrnhGtuaLuX9OMl96AZN5YbiXwgavXWmgCuNZ4DK4ckB4_8sbl1jKMVjGWbPhV45iakBMTRRTczEgbzbvLC85Om4sPUZJbkoiv3Z8sOhOmtRdG9Vyp432spVMtF5B87RnBjWbM6vZgOz0km1Sp181V2IdkLe9blxl__uTXtxc20tyN49aCVe1Q7bW3bl_Re64H-vTVTck2-PJrD4YxtUESD-N3w1jN8C0PMT01wRK1bvj0QHe9_brL78BXUgOlg
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwELVKQQIOfKMuFPABTmDVTmzHOSBUPlZdtawqsUi9GduxS6tqs2RTYP8UvxGPN9lSJHrrASmnxLaS-I1nnMm8h9Bz6Z0XmfJEBF4QnktJrHKB5NJkzjnGjA1JbKIYj9XBQbm_hn71tTDwW2W_JqaFuqodfCPfyjPgMudlXr6ZfSOgGgXZ1V5CYwmLXb_4Ebds89ej93F-X2TZ8MPk3Q7pVAWIi86yJUxaQY2oQm6os5ZxWwCvl_NS2MCCiw7PCOVVdB60pNLklSqtjJst0EYx3OVx3CvoKgdmMfhVMNvv8SsY1Lx07vU4JfXKnCcm0Czu90gewd7V7aTqPUg6ZgT0ZKPdcUoW53xjkhA4F_f-lapNHnB4-397d3fQrS7WxttL47iL1vz0Hrr5BwPjfTTZHg9Hn3DSA4LCfFwHHENiDCU008P2K55BsqIB1lm4lGhQ45DNqbW-wScxUP8JnY9CjOSxq6cxBm_9A_T5Uh7rIVqf1lO_gbAvPPc2tmdecBu8coWJQxhPAxPBFQPE-inWrmNhBzGQE73ij06w0BEWOsFCLwbo5arPbMlBcmHrt4CcVUvgD08n6uZQd8uRlhVzyigvKkF55WV8POWpActl1Co6QJs9knS3qM31GYwG6FWPxbPL_76lRxeP9gxd35l83NN7o_HuY3QjSxYRj3ITrbfNqX-Crrnv7dG8eZrMDaMvl43R35VmYto
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwEB2VLUJw4Bt1oUAOcAKrdmInzgGhQlmxKqxWokjllNqOXVpVyZJNgf1r_DrG3mRLkeitB6ScEttK4jeecSbzHsCz1BorYmmJcDwjPElToqVxJElVbIxhTGkXxCayyUTu7-fTNfjV18L43yr7NTEs1GVt_DfyrST2XOY8T_It1_0WMd0ZvZ59I15BymdaezmNJUR27eIHbt_mr8Y7ONfP43j0bu_te9IpDBCDjrMlLNWCKlG6RFGjNeM68xxfxqZCO-YMOj8lpJXoSGhOU5WUMtcpbry8ToriJsFxr8A6huQ8HsD6dPxx-qVHs2C-AqZztschxZcnPPCCxrj7IwlCv6viCbV8PgUZE68ui1bIKVmc85RBUOBcFPxX4jb4w9Gt__lN3oabXRQebS_N5g6s2eou3PiDm_Ee7G1PRuNPUVAK8iX7Ue0iDJYjX1xTHbZfo5lPYzSej9ZfCgSpOGRzqrVtohMM4X_6zkcOY_zI1BVG5629D58v5bEewKCqK7sBkc0stxrbMyu4dlaaTOEQylLHhDPZEFg_3YXp-Nm9TMhJsWKWDhApECJFgEixGMKLVZ_Zkp3kwtZvPIpWLT2zeDhRN4dFt1AVacmMVNKKUlBe2hQfT1qqvE0zqiUdwmaPqqJb7ubFGaSG8LLH5dnlf9_Sw4tHewrXEJrFh_Fk9xFcj4Nx4JFvwqBtTu1juGq-t0fz5klnexEcXDZIfwMOq20j
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=ANFIS+modelling+of+the+strength+properties+of+natural+rubber+latex+modified+concrete&rft.jtitle=Discover+applied+sciences&rft.au=Nyah%2C+Efiok+Etim&rft.au=Onwuka%2C+David+Ogbonna&rft.au=Arimanwa%2C+Joan+Ijeoma&rft.au=Alaneme%2C+George+Uwadiegwu&rft.date=2025-05-09&rft.issn=3004-9261&rft.eissn=3004-9261&rft.volume=7&rft.issue=5&rft_id=info:doi/10.1007%2Fs42452-025-07040-y&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s42452_025_07040_y
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=3004-9261&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=3004-9261&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=3004-9261&client=summon