What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends

What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends

Abstract This study introduces a hybrid method to identify and analyze techniques for microplastic analysis. We improve the detection and understanding of both established and new techniques by integrating regex-based pattern detection with the Llama 3.2:3b language model. Techniques like Raman and...

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Bibliographic Details
Main Authors: FERNANDO GOMES, SHEKHAR BHANSALI, FABÍOLA MARANHÃO, VIVIANE VALLADÃO, KARINE VELASCO
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2025-07-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Microplastics
Environmental contamination
Spectroscopy
Data mining
Machine learning
Large language models (LLMs)
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025001201703&lng=en&tlng=en
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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025001201703&lng=en&tlng=en

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