Author
Listed:
- Naseer Muhammad Khan
(Department of Sustainable Advanced Geomechanical Engineering, Military College of Engineering, National University of Sciences and Technology, Risalpur 23200, Pakistan
Key Laboratory of Deep Coal Resource Mining (China University of Mining & Technology), Ministry of Education, Xuzhou 221116, China
Department of Mining Engineering, Balochistan University of Information Technology Engineering and Management Sciences, Quetta 87300, Pakistan)
- Kewang Cao
(Key Laboratory of Deep Coal Resource Mining (China University of Mining & Technology), Ministry of Education, Xuzhou 221116, China)
- Qiupeng Yuan
(School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030, China
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine, Anhui University of Science and Technology, Huainan 232001, China)
- Mohd Hazizan Bin Mohd Hashim
(School of Materials and Mineral Resources Engineering, University Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia)
- Hafeezur Rehman
(Department of Mining Engineering, Balochistan University of Information Technology Engineering and Management Sciences, Quetta 87300, Pakistan
School of Materials and Mineral Resources Engineering, University Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia)
- Sajjad Hussain
(Department of Mining Engineering, University of Engineering & Technology, Peshawar 25000, Pakistan)
- Muhammad Zaka Emad
(Department of Mining Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)
- Barkat Ullah
(School of Resources and Safety Engineering, Central South University, Changsha 410083, China)
- Kausar Sultan Shah
(Department of Mining Engineering, Karakoram International University, Gilgit 15100, Pakistan)
- Sajid Khan
(Department of Mining Engineering, University of Engineering & Technology, Peshawar 25000, Pakistan)
Abstract
The journal retracts the article titled “Application of Machine Learning and Multivariate Statistics to Predict Uniaxial Compressive Strength and Static Young’s Modulus Using Physical Properties under Different Thermal Conditions” [...]
Suggested Citation
Naseer Muhammad Khan & Kewang Cao & Qiupeng Yuan & Mohd Hazizan Bin Mohd Hashim & Hafeezur Rehman & Sajjad Hussain & Muhammad Zaka Emad & Barkat Ullah & Kausar Sultan Shah & Sajid Khan, 2026.
"RETRACTED: Khan et al. Application of Machine Learning and Multivariate Statistics to Predict Uniaxial Compressive Strength and Static Young’s Modulus Using Physical Properties Under Different Thermal Conditions. Sustainability 2022, 14 , 9901,"
Sustainability, MDPI, vol. 18(13), pages 1-2, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:13:p:6379-:d:1973198
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