Retraction

Prediction of Coal Mining Subsidence Based on Machine Learning Probability Theory

Retraction Details

Nature of Retraction:

Retraction

Retraction Notice:
10.1155/2022/9802512

Citations (4)

4
Total Citations
2
Post-Retraction
(50.0%)
0
Pre-Retraction
1
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
1 Within 1 year
0 After 2+ years
531 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Subsidence Analysis for Old Abandoned Board and Pillar Coal Mines Using ANSYS and Monte Carlo Simulation
Akhil Avchar, Samir Kumar Pal, Anup Kumar Tripathi et al. (4 authors)
Journal of Mining Science
Published: Jun 2024
531 days after retraction
Subsidence Analysis for Old Abandoned Board and Pillar Coal Mines Using ANSYS and Monte Carlo Simulation
Akhil Avchar, Samir Kumar Pal, Anup Kumar Tripathi et al. (4 authors)
Journal of Mining Science
Published: Dec 2023
2 citations
348 days after retraction
Retracted: Prediction of Coal Mining Subsidence Based on Machine Learning Probability Theory
Journal of Electrical and Computer Engineering
Journal of Electrical and Computer Engineering Open Access
Published: Dec 2022
Same day as retraction
Quick Stats
Total Citations: 5
Years Since Retraction: 2.9 years
Open Access: Yes
Last Checked: Jul 24, 2025
Related Papers
Neutrosophic logistic model with applications in fuzzy data…
Journal of Intelligent & Fuzzy Systems • 2 citations
Fuzzy VIKOR approach to identify COVID-19 vulnerability reg…
Journal of Intelligent & Fuzzy Systems • 7 citations
Quick prediction of seismic casualties using fuzzy Case-Bas…
Journal of Intelligent & Fuzzy Systems • 5 citations
Pandemic management by using sentiment analysis and trapezo…
Journal of Intelligent & Fuzzy Systems • 0 citations
Motivation Analysis of Technological Startups Business Mode…
Journal of Electrical and Computer Engineering • 6 citations