Valizadeh Sotubadi, S., Mahjourian, N., & Nguyen, V. (2025). Automated data processing for efficient development of multimodal machine learning models in tool wear detection. The International Journal of Advanced Manufacturing Technology, 139(5-6), 2505-2524. https://doi.org/10.1007/s00170-025-16028-2
ISO-690 (author-date, English)VALIZADEH SOTUBADI, Saleh, MAHJOURIAN, Nazanin und NGUYEN, Vinh, 2025. Automated data processing for efficient development of multimodal machine learning models in tool wear detection. The International Journal of Advanced Manufacturing Technology. 1 Juli 2025. Vol. 139, no. 5-6, p. 2505-2524. DOI 10.1007/s00170-025-16028-2.
Modern Language Association 9th editionValizadeh Sotubadi, S., N. Mahjourian, und V. Nguyen. „Automated Data Processing for Efficient Development of Multimodal Machine Learning Models in Tool Wear Detection“. The International Journal of Advanced Manufacturing Technology, Bd. 139, Nr. 5-6, Juli 2025, S. 2505-24, https://doi.org/10.1007/s00170-025-16028-2.
Mohr Siebeck - Recht (Deutsch - Österreich)Valizadeh Sotubadi, Saleh/Mahjourian, Nazanin/Nguyen, Vinh: Automated data processing for efficient development of multimodal machine learning models in tool wear detection, The International Journal of Advanced Manufacturing Technology 2025, 2505-2524.
Emerald - HarvardValizadeh Sotubadi, S., Mahjourian, N. und Nguyen, V. (2025), „Automated data processing for efficient development of multimodal machine learning models in tool wear detection“, The International Journal of Advanced Manufacturing Technology, Vol. 139 No. 5-6, S. 2505-2524.