Evidence map›Paper›PMID 31690020›Full record

ArticleMaterials (Basel, Switzerland)2019

Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al

Ibrahim M Alarifi, Hoang M Nguyen, Ali Naderi Bakhtiyari, Amin Asadi

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

4 authors.

Ibrahim M AlarifiDepartment of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Al-Majmaah 11952, Saudi Arabia. i.alarifi@mu.edu.sa.ORCID 0000-0003-0275-0975
Hoang M NguyenDivision of Computational Physics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam. nguyenminhhoang1@tdtu.edu.vn.
Ali Naderi BakhtiyariCenter for Advanced Laser Manufacturing, School of Mechanical Engineering, Shandong University of Technology, Shandong 255049, China. ali.naderi.bakhtiyari@outlook.com.
Amin AsadiDivision of Computational Physics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam. a.asadi@tdtu.edu.vn.ORCID 0000-0002-3290-3162

Funding

Majmaah University RGP-2019-15
6 · The paper itself

Abstract

The main purpose of the present paper is to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) in predicting the thermophysical properties of Al

Indexed as

ANFISdynamic viscosityGAheat transfer performanceMWCNT-Al2O3 nanoparticlesPSOthermal conductivitythermophysical properties

Identifiers

PMID31690020
PMCPMC6862245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.