A Hybrid Machine Learning Model for Efficient XML Parsing

A Hybrid Machine Learning Model for Efficient XML Parsing

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 e...

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Bibliographic Details
Main Authors: Muhammad Ali, Minhaj Ahmad Khan, Raihan Ur Rasool
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
artificial neural network
eXtensible markup language
framework
machine learning
model
Online Access:https://ieeexplore.ieee.org/document/10810393/

Internet

https://ieeexplore.ieee.org/document/10810393/

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