Federated learning (FL) is a collaborative, decentralized privacy‐preserving method to
attach the challenges of storing data and data privacy. Artificial intelligence, machine …

The high dimensionality of data generated by Unmanned Aerial Vehicle (UAV)-Lidar makes
it difficult to use classical statistical techniques to design accurate predictive models from …

Human mobility patterns are associated with many aspects of our life. With the increase of
the popularity and pervasiveness of smartphones and portable devices, the Internet of …

The phenomenon of dropout is often found among customers of sports services. In this study
we intend to evaluate the performance of machine learning algorithms in predicting dropout …

Trajectory clustering is one of the most important issues in mobility patterns data mining. It is
applied in several cases such as hot-spots detection, urban transportation control, animal …

Over the past few decades, road transportation emissions have increased. Vehicles are
among the most significant sources of pollutants in urban areas. As such, several studies …

Social impact assessment is a fundamental process to verify the achievement of the
objectives of interventions and, consequently, to validate investments in the social area …

We assessed volatility transmissions that occurred (inter and intra) commodities of metals
and energy from October 16, 1998 to October 17, 2018. With a total of 5220 price …

This project proposes a machine learning (ML) pipeline for inferring office employee's well-
being, from heterogeneous sources of contextual data (cf. physiological, social and …

Atualmente, é cada vez mais evidente e visível a quantidade de dados, que crescem a um
ritmo exponencial dentro das organizações e, como tal, existe a necessidade de …