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generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data. The workplan will be as follows: Literature review Design of
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and FCT code. 2023.18225.ICDT and e DOI https://doi.org/10.54499/2023.18255.ICDT , funded by COMPETE 2030 by Portugal 2030, and by the European Union financial support from national funds/OE through
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Grant within the framework of the Funding UID/50020/2025 of the of the Research Unit LSRE-LCM – Laboratory of Separation and Reaction Processes – Laboratory of Catalysis and Materials, and DOI https
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