Optimizing Machine Learning Algorithms for Improving Prediction of Bridge Deck Deterioration: A Case Study of Ohio Bridges
The deterioration of a bridge’s deck endangers its safety and serviceability. Ohio has approximately 45,000 bridges that need to be monitored to ensure their structural integrity. Adequate prediction of the deterioration of bridges at an early stage is critical to preventing failures. The objective...
Main Authors: | Armin Rashidi Nasab, Hazem Elzarka |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/13/6/1517 |
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