Evidence map›Paper›PMID 38845912›Full record

ArticleHeliyon2024

Towards greener futures: SVR-based CO

Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ephraim Bonah Agyekum, Wulfran Fendzi Mbasso, Salah Kamel

Abstract read
PubMed Full text at PMC Publisher
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. MLP Enhanced COScientific reports · 2025
    Article
  6. An examination of daily COEnvironmental science and pollution research international · 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.

Oluwatayomi Rereloluwa AdegboyeEngineering Management Department, University of Mediterranean Karpasia, Mersin-10, Turkey.
Afi Kekeli FedaAdvanced Research Centre, European University of Lefke, Mersin-10, Turkey.
Ephraim Bonah AgyekumDepartment of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris Yeltsin, 19 Mira Street, Ekaterinburg, 620002, Russia.
Wulfran Fendzi MbassoLaboratory of Technology and Applied Sciences, University Institute of Technology, University of Douala, PO Box: 8698 Douala, Cameroon.
Salah KamelDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research presents the utilization of an enhanced Sine cosine perturbation with Chaotic perturbation and Mirror imaging strategy-based Salp Swarm Algorithm (SCMSSA), which incorporates three improvement mechanisms, to enhance the convergence accuracy and speed of the optimization algorithm. The study assesses the SCMSSA algorithm's performance against other optimization algorithms using six test functions to show the efficacy of the enhancement strategies. Furthermore, its efficacy in improving Support Vector Regression (SVR) models for CO

Indexed as

Chaotic perturbationMirror imaging strategySalp swarm algorithm (SCMSSA)Sine cosine perturbationSupport vector regression (SVR)

Identifiers

PMID38845912
PMCPMC11154620

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.