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A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs.

• Authors : Otchere, Daniel Asante; Abdalla Ayoub Mohammed, Mohammed; Ganat, Tarek Omar Arbi

Subjects: WETTING; DEEP learning; PORE fluids

• Source: Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 6, p2942, 32p

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Estimation of soil moisture using environmental covariates and machine learning algorithms in Cathedral Peak Catchment, South Africa.

• Authors : Kibirige, Daniel Murungi Kironde; Gokool, Shaeden; Mkhize, Zama Nosihle

Subjects: MACHINE learning; SOIL moisture; STANDARD deviationsSOUTH Africa

• Source: Vadose Zone Journal; May2024, Vol. 23 Issue 3, p1-21, 21p

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Desierto / Inundación: un grito amargo de Gaia.

• Authors : PRIETO MARTÍN, José; RUIZ CAPELLÁN, Vega; SILVA DOS SANTOS (Bia SANTOS), Fabiane Cristina

Subjects: CLIMATE change; ARTIFICIAL intelligence; SHARED virtual environments

• Source: Revista de la Asociacion Aragonesa de Criticos de Arte; 2023, Issue 65, p1-6, 6p

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Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence.

• Authors : Fey, Philipp; Weber, Daniel Ludwig; Stebani, Jannik

Subjects: ARTIFICIAL intelligence; MAGNETIC resonance; LAPLACE transformation

• Source: PLoS Computational Biology; 2/21/2023, Vol. 19 Issue 2, p1-31, 31p, 6 Graphs

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

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AI as Person, Paradigm, and Structure: Notes toward an Ethics of AI.

• Authors : Scherz, Paul

Subjects: ARTIFICIAL intelligence; INSTRUMENTALISTS; TECHNOLOGY

• Source: Theological Studies; Mar2024, Vol. 85 Issue 1, p124-144, 21p

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The Challenge of Crafting Intelligible Intelligence.

• Authors : WELD, DANIEL S.; BANSAL, GAGAN

Subjects: ARTIFICIAL intelligence; ALGORITHMS; MACHINE learning

• Source: Communications of the ACM; Jun2019, Vol. 62 Issue 6, p70-79, 10p, 4 Color Photographs, 3 Diagrams, 1 Graph

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Flood Issues in Contemporary Water Management

• Authors : J. Marsalek; W. Ed Watt; Evzen Zeman

Subjects: Geology; Artificial intelligenceSCIENCE / Earth Sciences / Hydrology; COMPUTERS / Artificial Intelligence / General

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Use of Microcomputers in Geology

• Authors : Hans Kürzl; Daniel F. Merriam

Subjects: Artificial intelligence; MineralogyCOMPUTERS / Artificial Intelligence / General; SCIENCE / Earth Sciences / Mineralogy

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Communication and Applied Technologies : Proceedings of ICOMTA 2023

• Authors : Daniel Barredo Ibáñez; Laura M. Castro; Araceli Espinosa

Subjects: Computational intelligence; Artificial intelligence; Quantitative researchCOMPUTERS / Artificial Intelligence / General; COMPUTERS / Database Administration & Management; MATHEMATICS / Probability & Statistics / General

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