Entropy-extreme concept of data gaps filling in a small-sized collection

Entropy-extreme concept of data gaps filling in a small-sized collection

Annotation: The article investigates the process of filling data gaps in a small-sized collection, which generalizes information about periodic measurement of input and output parameters of a target object. To fill the data gaps, a concept is proposed based on generating a committee of entropy-optim...

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Bibliographic Details
Main Authors: Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Egyptian Informatics Journal
Subjects:
Machine learning
Data analysis
Data gap filling
Small-sized collection
Entropy-extreme estimation
Errors in measurement
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866525000143
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