The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview

Ibrahim Khalil Umara Departmental of Civil Engineering Technology, Kano State Polytechnic, Kano, Nigeria;b Faculty of Civil and Environmental Engineering, Near East University, Nicosia, CyprusCorrespondence[email protected]
View further author information

Musa Adamuc Engineering Management Department, College of Engineering, Prince Sultan University, Riyadh, Saudi ArabiaCorrespondence[email protected]

https://orcid.org/0000-0002-9070-7258 View further author information

Nour Mostafad College of Engineering and Technology, American University of the Middle East, Egaila, KuwaitView further author information

Malik Sarmad Riaze Civil Engineering Department, National University of Technology (NUTECH), Islamabad, Pakistan

Sadi I. Harunac Engineering Management Department, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia;f Department of Civil Engineering, Bayero University Kano, Kano, NigeriaView further author information

Mukhtar Fatihu Hamzag Department of Mechanical Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj, Saudi ArabiaView further author information

Omar Shabbir Ahmedc Engineering Management Department, College of Engineering, Prince Sultan University, Riyadh, Saudi ArabiaView further author information

Marc Azabd College of Engineering and Technology, American University of the Middle East, Egaila, KuwaitView further author information

show all

The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview

Citations (0)

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date