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Cited article:

A Machine Learning-Based User-Friendly Approach for Prediction of Traffic-Induced Vibrations and its Application for Parametric Study

Muhammad Faraz Javaid, Rizwan Azam, Shahab Saqib and Muhammad Rizwan Riaz
Journal of The Institution of Engineers (India): Series A 105 (1) 1 (2024)
https://doi.org/10.1007/s40030-023-00775-0

Decision tree regression algorithm-based model for prediction of traffic-induced vibrations: development and application for parametric investigation

Muhammad Faraz Javaid, Rizwan Azam and Muhammad Rizwan Riaz
Innovative Infrastructure Solutions 8 (3) (2023)
https://doi.org/10.1007/s41062-023-01073-1

Predicting the peak structural displacement preventing pounding of buildings during earthquakes

S M Khatami, H Naderpour, A Mortezaei, et al.
Journal of Physics: Conference Series 2070 (1) 012010 (2021)
https://doi.org/10.1088/1742-6596/2070/1/012010

The Idea of Using Bayesian Networks in Forecasting Impact of Traffic-Induced Vibrations Transmitted through the Ground on Residential Buildings

Agata Siemaszko, Anna Jakubczyk-Gałczyńska and Robert Jankowski
Geosciences 9 (8) 339 (2019)
https://doi.org/10.3390/geosciences9080339