Marco Antonio Garcia de Carvalho received a B.Sc. degree in Electrical Engineering at the Universidade Federal do Rio Grande do Norte (Natal, Brazil, 1994), a M.Sc. degree in image processing at the School of Electrical and Computer Engineering (University of Campinas, Brazil, 1997) and a Ph.D. degree in image processing at School of Electrical and Computer Engineering (University of Campinas, Brazil, 2004). He held a sandwich stage position from 2001 to 2002 at the École Sup. d'Ingenieurs en Electrotechnique et Electronique -- ESIEE (France). He is currently an associate professor at the School of Technology of the UNICAMP. He has experience in Electrical Engineering and Computer Science areas, acting on the following research lines: digital image processing, pattern recognition, graphs, computer graphics and use of information and communication technology resources in teaching and learning. (Source: Lattes Curriculum)
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In order to support digital technologies application into educational context, it is important to understand the relationships between learners and the technologies they use during a practice. Among educational technologies are remote laboratories, tools that provide the manipulation of real experiments through an online platform, available 24/7. That way, remote laboratories overcome res…
The ultrasonic test has been an efficient alternative of assessing quality and identifying defects in different materials without modifying their shape or properties. This test makes it possible to predict possible structural failures in reinforced concrete structures, due to the presence of endogenous or exogenous pathologies. The ultrasonic tomography results of the transforming the dat…
Remote labs and electronic games are tools that can contribute to teaching science. While remote labs are real experiments that can be accessed remotely via the internet, challenges and rewards that can influence how you learn. Hence, an integration of remote labs with electronic games can create a synergy between these technologies and lead a new tool to support teaching and learning. In…
Image segmentation is an important task in many areas of image processing, computer vision, and pattern recognition. Subdivide an image into its constituent parts may, oftentimes, be dependent on the context where the segmentation is applied. There are many techniques of image segmentation, being the use of graphs as structures to represent images quite common. Thus, the study of graph cu…
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White matter hyperintensities (WMHs) are common brain lesions that can be visualized by magnetic resonance (MR) imaging. Particularly at a more advanced age (above 65 years), WMHs are present in healthy individuals as well as patients. Fluid-attenuated inversion recovery (FLAIR) MR imaging methods are generally the preferred imaging approach. The study of WMH is important because it is as…
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