Retraction

The Use of Deep Learning Model for Effect Analysis of Conventional Friction Power Confinement

Paper Information

Record ID:
48010
Publication Date:
June 07, 2022
Retraction Date:
September 20, 2023 (2.2 years years ago)
Subjects:
Broad Categories:
Energy Data Science
Specific Fields:
Data Science Energy
Article Type:
Publisher:
Hindawi
Open Access:
Yes
PubMed ID:
Retraction PubMed ID:

Retraction Details

Nature of Retraction:

Retraction

Retraction Notice:
10.1155/2023/9817901
Additional Notes:

See also: https://pubpeer.com/publications/E4C19119D958B2C7EB390B59C0945E

Citations (3)

3
Total Citations
1
Post-Retraction
(33.3%)
1
Pre-Retraction
0
Same Day
Post-Retraction Citation Analysis
1 Within 30 days
1 Within 1 year
0 After 2+ years
23 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Friction modelling and the use of a physics-informed neural network for estimating frictional torque characteristics
Paweł Olejnik, Samuel Ayankoso
Meccanica Open Access
Published: Oct 2023
8 citations
23 days after retraction
Retracted: The Use of Deep Learning Model for Effect Analysis of Conventional Friction Power Confinement
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine Open Access
Published: Jan 2023
262 days before retraction
Quick Stats
Total Citations: 4
Years Since Retraction: 2.2 years
Open Access: Yes
Last Checked: Jul 24, 2025
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