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Beka Begiashvili
Beka Begiashvili
Researcher at Universidad Politécnica de Madrid. Applied Mathematics to Aerospace Engineering.
Verified email at alumnos.upm.es
Title
Cited by
Cited by
Year
Data-driven modal decomposition methods as feature detection techniques for flow problems: a critical assessment
B Begiashvili, N Groun, J Garicano-Mena, S Le Clainche, E Valero
Physics of Fluids 35, 2022
342022
pyLOM: A HPC open source reduced order model suite for fluid dynamics applications
B Eiximeno, A Miró, B Begiashvili, E Valero, I Rodriguez, O Lehmkhul
Computer Physics Communications 308, 109459, 2025
22025
Higher order dynamic mode decomposition beyond aerospace engineering
N Groun, B Begiashvili, E Valero, J Garicano-Mena, S Le Clainche
Results in Engineering 20, 101471, 2023
22023
Efficient Data-Driven Algorithms to Identify Patterns in Aeronautical Industrial Problems
E Lazpita, B Begiashvili, J Garicano, S Le Clainche, E Valero
International Symposium on Unmanned Systems and The Defense Industry, 201-206, 2022
2022
Data-Driven Methods Beyond Aerospace Field
N Groun, B Begiashvili, E Valero, J Garicano-Mena, S Le Clainche
International Symposium on Unmanned Systems and The Defense Industry, 105-110, 2022
2022
A Novel Hybrid Lstm-Cnn1d Architecture for Short-Term Solar Irradiance Forecasting in a Spatio-Temporal Framework
B Begiashvili, M Kessler, A Molina-Garcia, MC Bueso-Sanchez
Available at SSRN 4490286, 2021
2021
Análisis y control de sistemas estocásticos con aplicaciones en tecnologías cuánticas
B Begiashvili
2019
CRITICAL EVALUATION OF FEATURE DETECTION ALGORITHMS BASED ON MODAL DECOMPOSITION METHODS
B BEGIASHVILI, J GARICANO, S LE CLAINCHE, E VALERO
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