A Hybrid Machine Learning Model for Efficient XML Parsing

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A hybrid machine learning model improves XML parsing efficiency for better application performance, addressing limitations of current techniques.

A Hybrid Machine Learning Model for Efficient XML Parsing

Muhammad Ali; Minhaj Ahmad Khan; Raihan Ur Rasool
https://doi.org/10.1109/ACCESS.2024.3520706
Volume 13

The Extensible Markup Language (XML) files are extensively used for representing structured data on the web for file configuration, exchanging data between distinct applications, web development, and many other applications. Consequently, effective parsing techniques are necessary for XML files to enhance the performance of applications. The existing parsing techniques have their strengths and wea...

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