Evidence map›Paper›PMID 39478028›Full record

ArticleScientific reports2024

Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete.

George Uwadiegwu Alaneme, Kolawole Adisa Olonade, Ebenezer Esenogho, Mustapha Muhammad Lawan, Edward Dintwa

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

George Uwadiegwu AlanemeCivil Engineering Department, Kampala International University, Kampala, Uganda. alanemeg@kiu.ac.ug.ORCID http://orcid.org/0000-0003-4863-7628
Kolawole Adisa OlonadeCivil Engineering Department, Kampala International University, Kampala, Uganda.
Ebenezer EsenoghoDepartment of Electrical, Telecommunication and Computer Engineering, Kampala International University, Kampala, Uganda.
Mustapha Muhammad LawanCivil Engineering Department, Kampala International University, Kampala, Uganda.
Edward DintwaDepartment of Mechanical Engineering, University of Botswana, Gaborone, Botswana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research explores the application of Artificial Intelligence (AI) techniques to assess the mechanical properties of geopolymer concrete made from a blend of Banana Peel-Ash (BPA) and Sugarcane Bagasse Ash (SCBA), using a sodium silicate (Na

Indexed as

Adaptive neuro-fuzzy inference systemArtificial neural networksGene expression programingGeopolymer concreteGreen concrete

Identifiers

PMID39478028
PMCPMC11525978

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.