Data Driven Methods to Predict Vertical Profiles of the Rails: A Case Study-Reference-Cited by-同舟云学术

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Data Driven Methods to Predict Vertical Profiles of the Rails: A Case Study

Published:2023-09-06 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on ICT for Smart Society (ICISS)
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Author:

Nugraha Ade Chandra¹,Supangkat Suhono Harso²,Nugraha IGB Baskara²,Handoko Yunendar Aryo³,Purwadinata Awan Hermawan⁴,Saputro Dimas Wisnu⁵

Affiliation:

1. Bandung State of Polytechnic, School of Electrical Engineering and Informatics, Bandung Institute of Technology,Department of Computer Engineering and Informatics,Bandung,Indonesia

2. School of Electrical Engineering and Informatics, Bandung Institute of Technology,Smart City and Community Innovation Center,Bandung,Indonesia

3. Bandung Institute of Technology,Faculty of Mechanical and Aerospace Engineering,Bandung,Indonesia

4. PT Kereta Api Indonesia,Managing Director of Infrastructure,Bandung,Indonesia

5. Bandung State of Polytechnic,Department of Computer Engineering and Informatics,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291174/10291186/10291474.pdf?arnumber=10291474

Reference32 articles.

1. Monitoring lateral track irregularity from in-service railway vehicles

2. Rail Track Quality and T-Stochastic Neighbor Embedding for Hybrid Track Index

3. Mathematics for Machine Learning

4. Experiments with a New Boosting Algorithm;freund;ICML,1996

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