Mohamed Tareq Soliman

Deep Learning–Based Approach for Short- and Long-Term IRI Forecasting Using Long-Term Pavement Performance Data

This study presents a deep learning–based approach for forecasting the international roughness index (IRI) using a long short-term memory (LSTM) network enhanced with an attention mechanism. Leveraging data from the long-term pavement performance program, the proposed LSTM–attention model is applied to both short-t...