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Groundwater level prediction using machine learning algorithms in a drought-prone area.

• Authors : Pham, Quoc Bao (AUTHOR); Kumar, Manish (AUTHOR); Di Nunno, Fabio (AUTHOR)

Subjects: WATER table; DROUGHT management; MACHINE learningBANGLADESH

• Source: Neural Computing & Applications. Jul2022, Vol. 34 Issue 13, p10751-10773. 23p.

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Drought vulnerability of central Sahel agrosystems: a modelling-approach based on magnitudes of changes and machine learning techniques.

• Authors : Hanadé  Houmma, Ismaguil (AUTHOR); El Mansouri, Loubna (AUTHOR); Gadal, Sébastien (AUTHOR)

Subjects: DROUGHT management; DROUGHTS; MACHINE learningSAHEL

• Source: International Journal of Remote Sensing. Jul2023, Vol. 44 Issue 14, p4262-4300. 39p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin.

• Authors : Niazkar, Majid¹ (AUTHOR) ; Piraei, Reza² (AUTHOR); Eryılmaz Türkkan, Gökçen³ (AUTHOR)

Subjects: *MACHINE learning; *DROUGHT management; *TREND analysis

• Source: Theoretical & Applied Climatology. Mar2024, Vol. 155 Issue 3, p1605-1624. 20p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Understanding the Drivers of Drought Onset and Intensification in the Canadian Prairies: Insights from Explainable Artificial Intelligence (XAI).

• Authors : MARDIAN, JACOB^1,2 ; CHAMPAGNE, CATHERINE²; BONSAL, BARRIE³

Subjects: *DROUGHT management; *ARTIFICIAL intelligence; *DROUGHTS

• Source: Journal of Hydrometeorology. Nov2023, Vol. 24 Issue 11, p2035-2055. 21p.

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