Evidence map›Paper›PMID 39966510›Full record

ArticleScientific reports2025

Performance and emission prediction using ANN (artificial neural network) on H

Harish Venu, Manzoore Elahi M Soudagar, Tiong Sieh Kiong, N M Razali, Hua-Rong Wei, T M Yunus Khan, Naif Almakayeel, M A Kalam, Erdem Cuce

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Harish VenuInstitute of Sustainable Energy, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia.
Manzoore Elahi M SoudagarCollege of Engineering, Lishui University, Lishui, 323000, Zhejiang, China. manzoor@lsu.edu.cn.
Tiong Sieh KiongInstitute of Sustainable Energy, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia.
N M RazaliInstitute of Sustainable Energy, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia.
Hua-Rong WeiDepartment of Photoelectric Engineering, Lishui University, Lishui, 323000, China.
T M Yunus KhanDepartment of Mechanical Engineering, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia.
Naif AlmakayeelDepartment of Industrial Engineering, King Khalid University, 61421, Abha, Saudi Arabia.
M A KalamSchool of Civil and Environmental Engineering, FEIT, University of Technology Sydney, 11, Ultimo, NSW, 2007, Australia.
Erdem CuceDepartment of Mechanical Engineering, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Zihni Derin Campus, 53100, Rize, Turkey. erdem.cuce@erdogan.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current work focuses on utilization of ANN (artificial neural network) for the prediction of performance and tailpipe emissions of Garcinia gummigutta methyl ester (GGME) enriched with H

Indexed as

Artificial neural networkDiesel engineGarcinia gummi-gutta biodieselPerformance and pollutant emissions

Identifiers

PMID39966510
PMCPMC11836408

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.