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    Distress-Based Pavement Condition Assessment Using Artificial Intelligence: A Case Study of Egyptian Roads by Mostafa M. Radwan, Sundus A. Faris, Ahmed Y. Barakat, Ahmad Mousa

    Published 2025-05-01
    “…The results have shown excellent predictions of the ANN model, as demonstrated in the high coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn><mo> </mo></mrow></msup></mrow></semantics></math></inline-formula> = 0.939) and the low root mean squared error (RMSE = 7.20) and the mean absolute error (MAE = 2.94). …”
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