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  1. 61

    Fast evaluation on the fatigue level of copper contact wire based on laser induced breakdown spectroscopy and supervised machine learning for high speed railway by Wenfu Wei, Langyu Xia, Zefeng Yang, Huan Zhang, Like Pan, Jian Wu, Guangning Wu

    Published 2024-12-01
    “…Herein, the authors propose a strategy using nanosecond pulsed laser induced breakdown spectroscopy (LIBS) combined with machine learning technique to realise a fast evaluation on the fatigue level of copper contact line. …”
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    Article
  2. 62

    Unsupervised learning of part similarity for goal-guided accelerated experiment design in metal additive manufacturing by Rui Liu, Sen Liu, Xiaoli Zhang

    Published 2024-05-01
    Subjects: “…metal additive manufacturing, laser powder bed fusion, machine learning, simplification…”
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    Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

    Published 2024-01-01
    “…In situ mineralogical and chemical analyses of rock samples using a space-prototype laser ablation ionization mass spectrometer along with unsupervised machine learning are powerful tools for the study of surface samples on planetary bodies. …”
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    Spectral Precision: Recent Advances in Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for Pathogen Detection and Resistance Profiling by Ayman Elbehiry, Adil Abalkhail

    Published 2025-06-01
    “…Traditional culture-based and molecular diagnostic techniques often fall short in terms of speed, cost-efficiency, or scalability, particularly in resource-limited settings. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI–TOF MS) has emerged as a transformative tool in clinical microbiology. …”
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