Forecasting cross-tie condition based on the dynamic adjacent support using a theory-guided neural network model

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The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

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Effect of Adjacent Support Condition on Premature Wood Crosstie Failure

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Beams on elastic foundations – A review of railway applications and solutions

(2021) Angie C. Lamprea-Pineda et al.   Transportation Geotechnics

A simplified method for calculating load distribution and rail deflections in track, incorporating the influence of sleeper stiffness

(2020) Aran van Belkom   ADVANCES IN STRUCTURAL ENGINEERING

Physics-Informed Neural Network for Ultrasound Nondestructive Quantification of Surface Breaking Cracks

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Application of the collision mathematical model based on a BP neural network in railway vehicles

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Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

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Measurements of the high frequency dynamic stiffness of railway ballast and subgrade

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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Theory-Guided Machine Learning in Materials Science

(2016) Nicholas Wagner et al.   Frontiers in Materials

Cost and Delay of Railroad Timber and Concrete Crosstie Maintenance and Replacement

(2015) Alexander H. Lovett et al.   TRANSPORTATION RESEARCH RECORD

Failures of mainline railway sleepers and suggested remedies – Review of current practice

(2014) Wahid Ferdous et al.   ENGINEERING FAILURE ANALYSIS

Automated Visual Inspection of Railroad Tracks

(2013) Esther Resendiz et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Analysis of the railway track as a spatially periodic structure

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What are artificial neural networks?

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