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Hybrid decomposition and deep learning approach for data-driven FOREX forecasting optimization.

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Title: Hybrid decomposition and deep learning approach for data-driven FOREX forecasting optimization.
Authors: Papatsimpas, Michail G.1, mpapatsimpas@cse.uoi.gr, Parsopoulos, Konstantinos E.1, kostasp@uoi.gr
Source: Journal of Global Optimization; Feb2026, Vol. 94 Issue 2, p427-457, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
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An: 192562043
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        Value: 10.1007/s10898-025-01505-5
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      – Code: eng
        Text: English
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        PageCount: 31
        StartPage: 427
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      – TitleFull: Hybrid decomposition and deep learning approach for data-driven FOREX forecasting optimization.
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              Text: Feb2026
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              Y: 2026
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