Artificial neural network (ANN) analysis on thermophysical properties of magnetohydrodynamics flow with radiation in an arc-shaped enclosure with a rotating cylinder.

T Bairagi, Md Jahid Hasan, M N Hudha, A K Azad, M M Rahman

Abstract read

In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it

0cells of the map it votes in

5citing 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

5 citing papers in PubMed.

A semi analytical simulation and Bayesian Regularization technique for thermophoretic particle deposition in radiative nanofluid flow with Brownian motion and Stefan blowing impacts.Discover nano · 2026
Article
Artificial neural network optimization of gyrotactic microbes in water hybrid nanoliquid with carbon nanotubes using modified Hamilton crosser model.Discover nano · 2026
Article
Bayesian-regularized neural network analysis of heat and mass transmission in CMC and water hybrid nanofluid with local thermal non equilibrium conditions.Discover nano · 2026
Article
Intelligent predictive neural network analysis of stefan blowing impacts on chemical reactive flow of Boger nanofluid with thermophoresis and brownian motion.Discover nano · 2026
Article
AI-powered prediction of hybrid nanofluid dynamics over a cylinder via LM optimized neural network approach.Scientific reports · 2025
Article

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.

T BairagiDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.

Md Jahid HasanDepartment of Mechanical and Production Engineering, Islamic University of Technology, Board Bazar, Gazipur, 1704, Bangladesh.

M N HudhaDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.

A K AzadDepartment of Natural Sciences, Islamic University of Technology, Board Bazar, Gazipur, 1704, Bangladesh.

M M RahmanDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this research is to examine the thermophysical features of magnetic parameter (

Indexed as

Artificial neural networkLid-driven arc-shaped cavityRotating cylinderTwo-layer feed-forward modelWater-based Al2O3 nanofluid

Identifiers

PMID38689950

DOI10.1016/j.heliyon.2024.e28609

PMCPMC11059520

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LicenceCC BY-NC

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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.