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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Sidgley Camargo de Andrade is a professor at the Federal University of Technology - Paraná, Toledo, Brazil. He is a computer scientist with BSc, MSc, and PhD in computer science. He received the PhD degree from the University of São Paulo (USP), Brazil, in May 2020. His research is situated within an interdisciplinary problem space that intersects data mining, spatio-temporal data analysis, social media analytics and urban studies. (Source: Lattes Curriculum)
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This project will focus on fusion of data from social media and physical sensors for rainfall monitoring. social media has been a valuable source of (near) real-time information that can be employed to heighten the data obtained from physical sensors, as well as increase the spatial coverage over surveillance areas. Hence, social media platforms can be seen as a channel which provides a w…
This project aims at assessing methods to reduce the spatial inequalities present in the usage of social media data as a proxy for real-world phenomena such as heavy rains and floods. A methodological framework for identifying social media activity patterns in urban areas will be established using an interdisciplinary approach to multi-scale analysis that is calibrated with environmental …
| 1 / 1 | Completed scholarships in Brazil |
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