ML-Assisted LIBS Classification of Burnt vs. Unburnt Paper for Forensics


 This study explores the use of Machine Learning (ML) to enhance Laser-Induced Breakdown Spectroscopy (LIBS) for classifying burnt and unburnt paper samples in forensic investigations. The research aims to improve the accuracy and efficiency of forensic analysis by leveraging advanced data-driven techniques.

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