Efficient extraction of experimental data from line charts using advanced machine learning techniques
Line charts, as a common data visualization tool in scientific research and business analysis, encapsulate rich experimental data. However, existing data extraction tools face challenges such as low automation levels and difficulties in handling complex charts. This paper proposes a novel method for...
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Published in | Graphical models Vol. 139; p. 101259 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.06.2025
Elsevier |
Subjects | |
Online Access | Get full text |
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