Eric Keiji Tokuda

• Abstract

  We aim to identify factors associated with Food Insecurity using heterogeneous data from multiple sources and graph modeling. The proposed methodology includes data collection and pre-processing, exploratory analysis and the application of complex network techniques to identify patterns and relationships between variables. In addition, statistical and machine learning models will be used …

  Investigation of factors associated with food insecurity using multi-objective optimization and graphs, BP.PD

• Abstract

  Nowadays, different types of data on cities are massively and decentrally produced, given improved technologies and reduced cost of image acquisition sensors. Two approaches are frequent in the use of visual data as a source of information about cities. In the first case, computer vision techniques are used and characteristic analyzes extracted from images are performed. In the second cas…

  Integrating computer vision and complex networks for urban analysis, BP.PD
• Project cyberinfrasctruture administration, BP.TT

(Only some records are available in English at this moment)

• Abstract

  In the last century, network science has found different applications in real world problems, such as social sciences, transportation and epistemology. This system abstraction considers as fundamental elements the nodes and their connections. It has been observed that most real-world networks present a modular structure, i.e., entities are more interconnected within a group than to entiti…

  Community detection and diffusion on complex networks, BE.EP.PD

• Abstract

  Thanks to the advent and widespread of new technologies, data are generated all the time, in many forms and from many sources. In particular, cities daily generate a huge amount of data such as from surveillance cameras, demographic statistics and tax revenues. Such data can be efficiently employed to build a city model, where semantic information can be extracted and future events can be…

  Data-driven city model representation and analysis using visual and non-visual information, BE.EP.DR