Publisher Correction: Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants (Scientific Reports, (2024), 14, 1, (13688), 10.1038/s41598-024-64486-7)

Muhammad Faisal Javed, Muhammad Zubair Shahab, Usama Asif, Taoufik Najeh, Fahid Aslam, Mujahid Ali, Inamullah Khan

Research output: Contribution to journalComment/debate

Abstract

The original version of this Article contained errors in the Affiliations. Muhammad Faisal Javed was incorrectly affiliated with ‘National Institute of Transportation, National University of Sciences and Technology (NUST), Islamabad, Pakistan’. As a result, the affiliation tagging in the author list was incorrect. The correct affiliations for all authors are listed below. Department of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan Western Caspian University, Baku, Azerbaijan COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan Department of Civil Engineering, Nazarbayev University, Astana, Kazakhstan Operation and Maintenance, Operation, Maintenance and Acoustics, Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, Luleå, Sweden Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, 11942 Al-Kharj, Saudi Arabia Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland National Institute of Transportation, National University of Sciences and Technology (NUST), Islamabad, Pakistan The original Article has been corrected.

Original languageEnglish
Article number16052
JournalScientific Reports
Volume14
Issue number1
DOIs
StatePublished - Dec 2024

Fingerprint

Dive into the research topics of 'Publisher Correction: Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants (Scientific Reports, (2024), 14, 1, (13688), 10.1038/s41598-024-64486-7)'. Together they form a unique fingerprint.

Cite this