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  1. 41

    A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data by Adriano Liso, Cosimo Patruno, Angelo Cardellicchio, Pierfrancesco Ardino, Nicola Gallo, Giuseppe del Prete, Valerio Dentico, Veronica Vespini, Sara Coppola, Pietro Ferraro, Vito Reno

    Published 2025-01-01
    “…Here, we present a deep learning-based method for the non-destructive detection of defects in composite samples based on a laser ultrasonic system (LUT). …”
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  2. 42

    Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach by Muhammad Amir Shabbir, Ran Hai, Zhonglin He, Zehua Liu, Fahad Rehman, Xue Bai, Jianping Mu, Ding Wu, Cong Li, Hongbin Ding

    Published 2024-12-01
    “…Five He-retention samples on the boron deposition layer on tungsten substrates were prepared by pulsed laser deposition (PLD) method at different ambient pressures in our lab. …”
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    Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

    Published 2025-08-01
    “…The goal of this study was to investigate the potential of using 3D point cloud data and deep learning to detect SPLCV. In this study, 3D point cloud data derived from multispectral laser scanning of healthy and SPLCV-infected sweetpotato plants were modeled with the PointNet++ neural network to discriminate healthy versus diseased plants. …”
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    Predicting Relative Density of Pure Magnesium Parts Produced by Laser Powder Bed Fusion Using XGBoost by Kristijan Šket, Snehashis Pal, Janez Gotlih, Mirko Ficko, Igor Drstvenšek

    Published 2025-08-01
    “…In this work, Laser Powder Bed Fusion (LPBF), an additive manufacturing (AM) process, was optimised to produce pure magnesium components. …”
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