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The reconstruction, classification and representation of objects and structures acquired using high resolution 3D scanning devices (such as medical CT or MRI) is a complex task, given the size and properties of the resulting data set. One of the challenges in dealing with such data is the identification and representation of structures partially occluded by regions with similar density values, which...
For an adequate planning of waste management systems the accurate forecast of waste generation is an essential step, since various factors can affect waste trends. The application of predictive and prognosis models are useful tools, as reliable support for decision making processes. In this paper some indicators such as: number of residents, population age, urban life expectancy, total municipal solid...
The analysis of EEG signals is a topic of significant interest to multiple scientific and medical branches. Since these signals lack any intrinsic visual data, their graphical representation presents multiple challenges, particularly for data spanning over frequency bands and extended durations. This paper presents several techniques for the representation of such signals, using a 3D model of a human...
Computed Tomography (CT) scanners have a wide variety of uses, particularly in medical and industrial imaging. However, the data generated by these devices does not have intrinsic visual information and is often large enough to make it time consuming and tedious for an expert to manually inspect. We present techniques which allow for the fast and intuitive semi-automatic visual analysis of large CT...
The extraction and representation of information from volume data are important research avenues in computer-based visualization. The interpretation of three- or multi-dimensional data from various scanning devices is important to medical imaging, diagnosis and treatment, reliability and sustainability analyses in various industrial branches, and, in more general terms, information visualization....
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