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Journal of Innovation & Knowledge Scalable machine learning framework for predicting critical links in urban netwo...
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Scalable machine learning framework for predicting critical links in urban networks
Nourhan Bachira,
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nbachir@uliege.be

Corresponding authors.
, Chamseddine Zakib,
Corresponding author
chamseddine.zaki@aum.edu.kw

Corresponding authors.
, Hassan Harbb, Roland Billena
a GeoScITY, Spheres Research Unit, University of Liège, 4000 Liège, Belgium
b College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
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ISSN: 2444569X
Original language: English
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