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Journal: Sensors, 2023
Volume: 23
Number: 5659

Article: Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models
Authors: by Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Ketan Kotecha and Ajith Abraham
Link: https://www.mdpi.com/1424-8220/23/12/5659

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