Machine learning‐based stocks and flows modeling of road infrastructure
Author:
Affiliation:
1. Department of Environmental Impacts and Sustainability Norwegian Institute for Air Research Kjeller Norway
2. Department of Architecture and Civil Engineering Chalmers University of Technology Gothenburg Sweden
Publisher
Wiley
Subject
General Social Sciences,General Environmental Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jiec.13232
Reference48 articles.
1. Heavy metals from non-exhaust vehicle emissions in urban and motorway road dusts
2. Studying construction materials flows and stock: A review
3. Automatic Design of Decision-Tree Induction Algorithms
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