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May 10, 2026Journal of Analytical Atomic Spectrometry0 citations

Hybrid fuzzy-transformer-CNN network combined with fs-LA-SIBS for accurate classification of magnesium alloy components

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XHXiaoyong HeCHChunhui HuangZGZhenman Gao

Key Points

  • This research aims to enhance the classification accuracy of magnesium alloy components using a novel technique.
  • Developed femtosecond laser-ablation spark-induced breakdown spectroscopy technique.
  • Combined with Hybrid Fuzzy-Transformer-CNN for improved classification.
  • Focused on achieving high-fidelity results.
  • Achieved accurate classification of magnesium alloy components through fs-LA-SIBS and HybridTFNet combination.

Abstract

A femtosecond laser-ablation spark-induced breakdown spectroscopy (fs-LA-SIBS) technique was developed and coupled with a novel Hybrid Fuzzy-Transformer-CNN (HybridTFNet) to achieve high-fidelity magnesium alloy component classification.

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Cite This Study

He et al. (2026) studied this question.

synapsesocial.com/papers/6a0020cec8f74e3340f9bad9https://doi.org/10.1039/d6ja00006a
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