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Enhancing the Effectiveness of Neural Networks in Predicting Railway Track Degradation
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-9681-3804
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 651-664Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2024. p. 651-664
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Computer graphics and computer vision
Research subject
Quality Technology and Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-103880DOI: 10.1007/978-3-031-39619-9_48Scopus ID: 2-s2.0-85181980921OAI: oai:DiVA.org:ltu-103880DiVA, id: diva2:1830528
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2025-02-07Bibliographically approved

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Sedghi, Mahdieh

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