DataFITS: A Heterogeneous Data Fusion Framework for Traffic and Incident Prediction
This paper introduces DataFITS (Data Fusion on Intelligent Transportation System), an open-source framework that collects and fuses traffic-related data from...
Currently, he is a Professor at Universidade Federal da Bahia - UFBA,
a position he has held since 2022. From 2019 to 2022, he served as a professor at
Universidade Federal de Ouro Preto - UFOP,
where he contributed to the academic growth of his students and the institution.
He holds a B.S. in Computer Science from Universidade Estadual de Santa Cruz - UESC,
which he completed in 2012. Following his undergraduate studies, he pursued advanced degrees at
Universidade Federal de Minas Gerais - UFMG,
earning his Master’s and Ph.D. in Computer Science in 2015 and 2019, respectively.
His main research interests encompass a wide range of topics within Computer Science, including:
This paper introduces DataFITS (Data Fusion on Intelligent Transportation System), an open-source framework that collects and fuses traffic-related data from...
A polarização aferida em redes sociais tem refletido a predisposição da sociedade para o embate de ideias e o recente incentivo a rivalidade política no mund...
A Internet of Things (IoT) tem sido marcada pelas interações entre dispositivos que cooperam para realizar atividades. A partir deste ambiente cibernético...
Este artigo apresenta o OTALab, uma ferramenta para criação e implantação de ambientes de experimentação de aplicações de Internet of Things (IoT) em...
Due to the increasing location-aware devices, mobility traces datasets have become an essential source for smart cities planning. Given this scenario, we pro...