George A. Anastassiou

George A. Anastassiou is affiliated with the University of Memphis in the United States. Their research spans across mathematics and computer science, with a focus on applied mathematics and artificial intelligence.

Key subfields of their study include:

• Applied Mathematics
• Artificial Intelligence
• Statistics and Probability
• Modeling and Simulation
• Numerical Analysis

The primary topics addressed in their work cover:

• Mathematical Inequalities and Applications
• Neural Networks and Applications
• Fractional Differential Equations Solutions
• Approximation Theory and Sequence Spaces
• Nonlinear Differential Equations Analysis
• Fuzzy Logic and Control Systems
• Image and Signal Denoising Methods

Recent papers published by George A. Anastassiou include:

• Algebraic function based Banach space valued ordinary and fractional neural network approximations, 2022, New Trends in Mathematical Science
• General multivariate arctangent function activated neural network approximations, 2022, Journal of Numerical Analysis and Approximation Theory
• Fuzzy fractional more sigmoid function activated neural network approximations revisited, 2022, Mathematical Foundations of Computing
• Abstract generalized fractional Landau inequalities over ℝ, 2021, Constructive Mathematical Analysis
• Foundation of stochastic fractional calculus with fractional approximation of stochastic processes, 2020, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas

Frequent co-authors collaborating with Anastassiou include:

• Dimitra Kouloumpou
• Seda Karateke
• Jagdev Singh
• Dumitru Băleanu
• Devendra Kumar

They have published extensively in several academic venues, notably:

• Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas
• Mathematics
• Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae Sectio computatorica
• Problemy analiza
• Symmetry

George A. Anastassiou has also authored numerous books mainly published by Springer International Publishing, Springer Nature, and World Scientific. Notable book titles include:

• Generalized Fractional Calculus (2020)
• Unification of Fractional Calculi with Applications (2021)
• Constructive Fractional Analysis with Applications (2021)
• Abstract Fractional Monotone Approximation, Theory and Applications (2022)
• Advances in Mathematical Modelling, Applied Analysis and Computation (2022, 2023)
• Fractional Inequalities In Banach Algebras (2022)
• Banach Space Valued Neural Network (2022)
• Parametrized, Deformed and General Neural Networks (2023)
• Intelligent Analysis: Fractional Inequalities and Approximations Expanded (2020)
• Trigonometric and Hyperbolic Generated Approximation Theory (2024)