Historically, data has been seen as the result of business transactions, with a little value beyond them, but they were not treated as a valuable shared asset. From the early 1990s, business decisions and processes started ...

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 ...

With the increasing production of information from e-government initiatives, there is also the need to transform a large volume of unstructured data into useful information for society. All this information should be easily ...

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 ...

São Paulo is the most populous state in Brazil, home to around 22% of the country’s population. The total number of Covid-19-infected people in São Paulo has reached more than 1 million, while its total death toll stands ...

The prediction of electricity generation is one of the most important tasks in the management of modern energy systems. Improving the assertiveness of this prediction can support government agencies, electric companies, ...

In a milieu marked by increasing quantification of social life, many digital devices have emerged under the promise of a revolutionary change in areas such as urban planning and governance of Smart City projects. Starting ...

The growth of the nonprofit sector in Brazil has been conceptually similar to that of the Anglo-Saxon Third Way, where the government promotes the creation of partnerships with civil society. This process has been criticized ...