Lynn Cherif

Lynn Cherif

MS Thesis Student, McGill University and Mila

Verified email at mail.mcgill.ca - Homepage


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Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams L Cherif, M Safdar, G Lamouche, P Wanjara, P Paul, G Wood, ... 22nd International Federation of Automatic Control (IFAC) World Congress, 2023	1	2023
Development and Implementation of Computer-Vision-Based Deep Learning Models for Anomaly Classification in Laser Powder Bed Fusion L Cherif		2022

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