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Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations
(2023)
We develop a fully data-driven model of anisotropic finite viscoelasticity using neural ordinary differential equations as building blocks. We replace the Helmholtz free energy function and the dissipation potential with ...
Political Communication in Context: A Genre-Based Approach
(Brill Academic Publishers, 2015)
Factores de adecuación de la cultura Data-driven en las organizaciones
(Universidad Peruana de Ciencias Aplicadas (UPC)PE, 2021-01-21)
La cultura data-driven consiste básicamente en tomar decisiones basadas en datos, siendo utilizada hoy más que nunca por diversas organizaciones que buscan mejorar sus procesos con el fin de atender mejor a sus clientes y ...
Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data
(Elsevier, 2021)
OBJECTIVE: To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates. STUDY DESIGN AND SETTING: ...
Big Data and the challenges it poses to Abuse of Dominant PositionBig Data y los desafíos que plantea al Abuso de Posición de Dominio
(Revista de Actualidad Mercantil, 2020)
Data-driven analysis and machine learning for energy prediction in distributed photovoltaic generation plants: A case study in Queensland, Australia
(2022-04-01)
Understanding patterns and energy-related data in photovoltaic systems is one of the key tasks in energy generation and distribution. In fact, the use of data-driven tools and predictive learning models can support the ...