Found: 12
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Optimal Statistical Analyses of Bell Experiments.
- Published in:
- AppliedMath, 2023, v. 3, n. 2, p. 446, doi. 10.3390/appliedmath3020023
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- Article
A Sequence of Cohen–Macaulay Standard Graded Domains Whose h-Vectors Have Exponentially Deep Flaws.
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- AppliedMath, 2023, v. 3, n. 2, p. 305, doi. 10.3390/appliedmath3020017
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- Article
Numerical Study of Velocity and Mixture Fraction Fields in a Turbulent Non-Reacting Propane Jet Flow Issuing into Parallel Co-Flowing Air in Isothermal Condition through OpenFOAM.
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- AppliedMath, 2023, v. 3, n. 2, p. 468, doi. 10.3390/appliedmath3020025
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- Article
Readability across Time and Languages: The Case of Matthew's Gospel Translations.
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- AppliedMath, 2023, v. 3, n. 2, p. 497, doi. 10.3390/appliedmath3020026
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- Article
A Novel Algebraic System in Quantum Field Theory.
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- AppliedMath, 2023, v. 3, n. 2, p. 461, doi. 10.3390/appliedmath3020024
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- Article
Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes.
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- AppliedMath, 2023, v. 3, n. 2, p. 417, doi. 10.3390/appliedmath3020022
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- Article
A Note on Korn's Inequality in an N-Dimensional Context and a Global Existence Result for a Non-Linear Plate Model.
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- AppliedMath, 2023, v. 3, n. 2, p. 406, doi. 10.3390/appliedmath3020021
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- Article
A Generalized Series Expansion of the Arctangent Function Based on the Enhanced Midpoint Integration.
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- AppliedMath, 2023, v. 3, n. 2, p. 395, doi. 10.3390/appliedmath3020020
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- Article
Radial Based Approximations for Arcsine, Arccosine, Arctangent and Applications.
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- AppliedMath, 2023, v. 3, n. 2, p. 343, doi. 10.3390/appliedmath3020019
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- Article
Electricity Price Forecasting via Statistical and Deep Learning Approaches: The German Case.
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- AppliedMath, 2023, v. 3, n. 2, p. 316, doi. 10.3390/appliedmath3020018
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- Article
An Interval-Valued Three-Way Decision Model Based on Cumulative Prospect Theory.
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- AppliedMath, 2023, v. 3, n. 2, p. 286, doi. 10.3390/appliedmath3020016
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- Article
Convergence Rates for Hestenes' Gram–Schmidt Conjugate Direction Method without Derivatives in Numerical Optimization.
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- AppliedMath, 2023, v. 3, n. 2, p. 268, doi. 10.3390/appliedmath3020015
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- Article