Tiago Carneiro

TL;DR: This paper presents a detailed analysis of Colaboratory regarding hardware resources, performance, and limitations and shows that the performance reached using this cloud service is equivalent to the performance of the dedicated testbeds, given similar resources.

TL;DR: It is shown that the task of phonation was more efficient than speech tasks in the detection of disease and compared with other approaches that use the same data set.

TL;DR: This survey aims to review and organize the computation offloading literature in vehicular environments, demystify some concepts, propose a taxonomy with the most important aspects and classify most works in the area according to each category.

TL;DR: A set of temperature and density dependent entomological models that are built-in components of most dengue models are validated by fitting them to time series of ovitrap data from three distinct neighborhoods in Rio de Janeiro, Brazil, indicating that neighborhoods differ in the strength of the seasonal component and that commonly used models tend to assume more seasonal structure than found in data.

TL;DR: A software organization for building computational models that support dynamical linking of multiple scales is proposed and it is shown how results in multiscale models can flow both in bottom-up and top-down directions, thus allowing feedback from local actors to regional scales.