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Periodical

Can We Trust AI to Make Decisions?

Subjects: ARTIFICIAL intelligence; DECISION making; MACHINE learning

  • Source: Skeptic; 2024, Vol. 29 Issue 1, p24-27, 4p, 1 Cartoon or Caricature

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Academic Journal

Automated kharif rice mapping using SAR data and machine learning techniques in GEE platform.

Subjects: SYNTHETIC aperture radar; RICE; SUCCESSIVE approximation analog-to-digital converters

  • Source: Current Science (00113891); 5/25/2024, Vol. 126 Issue 10, p1265-1272, 8p

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Periodical

The Artificial Physicist.

Subjects: QUANTUM theory; MACHINE learning; ALGORITHMS

  • Source: Scientific American; Oct2021, Vol. 325 Issue 4, p82-85, 4p, 1 Color Photograph

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Academic Journal

Machine learning algorithms for predicting rainfall in India.

Subjects: MACHINE learning; HILBERT-Huang transform; RAINFALLPUNJAB; MEGHALAYA (India); GOA (India : State)

  • Source: Current Science (00113891); 2/10/2024, Vol. 126 Issue 3, p360-367, 8p

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Periodical

How to Investigate an Algorithm: Algorithmic auditing has the potential to decrease bias and prevent or fix the harms caused by artificial intelligence.

Subjects: ARTIFICIAL intelligence; AUDITING; GIFTED children

  • Source: Issues in Science & Technology; Summer2023, Vol. 39 Issue 4, p85-89, 5p

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Academic Journal

Almost sure convergence rates of stochastic proximal gradient descent algorithm.

Subjects: OPTIMIZATION algorithms; CONVEX functions; STOCHASTIC convergence

  • Source: Optimization; Aug2024, Vol. 73 Issue 8, p2413-2446, 34p

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Academic Journal

Arctic tern-optimized weighted feature regression system for predicting bridge scour depth.

Subjects: METAHEURISTIC algorithms; MACHINE learning; OPTIMIZATION algorithms

  • Source: Engineering Applications of Computational Fluid Mechanics; Dec2024, Vol. 18 Issue 1, p1-29, 29p

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Academic Journal

Stacked framework of machine learning classifiers for protein family prediction using protein characteristics.

Subjects: MACHINE learning; PROTEOMICS; RANDOM forest algorithms

  • Source: Current Science (00113891); 9/10/2023, Vol. 125 Issue 5, p508-517, 10p

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Academic Journal

Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River.

Subjects: MACHINE learning; STANDARD deviations; WATER quality monitoring

  • Source: Engineering Applications of Computational Fluid Mechanics; Dec2024, Vol. 18 Issue 1, p1-18, 18p

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Academic Journal

The effect of covariates on Soil Organic Matter and pH variability: a digital soil mapping approach using random forest model.

Subjects: DIGITAL soil mapping; RANDOM forest algorithms; ORGANIC compoundsMOROCCO

  • Source: Annals of GIS; Jun2024, Vol. 30 Issue 2, p215-232, 18p

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  • 1-10 of  135 results for ""Algorithms""