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Olga Kurasova, Arnoldas Bud?ys and Viktor Medvedev
As artificial intelligence has evolved, deep learning models have become important in extracting and interpreting complex patterns from raw multidimensional data. These models produce multidimensional embeddings that, while containing a lot of informatio...
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Kornelia Grzelka, Agnieszka Bieda, Jaroslaw Bydlosz and Anna Kondak
Despite the already advanced work on the construction of jurisdictional 3D cadastre models in many parts of the world and the technical feasibility of building very detailed 3D models of cities, relatively few specialists have focused on the aspects of v...
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Michael Gerasimov, Adnan Haj Yahya, Vadim Patrick Nave, Egor Dyunin, Jacob Gerasimov and Aharon Friedman
We present a numerical platform for 3D imaging and general analysis of multidimensional complex THz fields. A special 3D visualization is obtained by converting electromagnetic (EM) radiation to a light field via the Wigner distribution function, which i...
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Panos Nikitas and Efthymia Nikita
This paper assesses algorithms proposed for constructing confidence ellipses in multidimensional scaling (MDS) solutions and proposes a new approach to interpreting these confidence ellipses via hierarchical cluster analysis (HCA). It is shown that the m...
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Evandro S. Ortigossa, Fábio Felix Dias and Diego Carvalho do Nascimento
The exploration and analysis of multidimensional data can be pretty complex tasks, requiring sophisticated tools able to transform large amounts of data bearing multiple parameters into helpful information. Multidimensional projection techniques figure a...
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Fedor Krasnov
Pág. 79 - 84
Visualization of multidimensional data is the most important stage of data research. Often, decisions on the further stages of the study are made from the flat view of the data based on "rough proportions". High visibility and persuasiveness of represent...
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Rosane Minghim, Liz Huancapaza, Erasmo Artur, Guilherme P. Telles and Ivar V. Belizario
Feature Analysis has become a very critical task in data analysis and visualization. Graph structures are very flexible in terms of representation and may encode important information on features but are challenging in regards to layout being adequate fo...
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Candan Eylül Kilsedar and Maria Antonia Brovelli
The focus of this research is addressing a subset of the geovisualization (i.e., geographic visualization) challenges identified in the literature, namely multidimensional vector and raster geospatial data visualization. Moreover, the work implements an ...
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Piotr A. Werner
The Reed-Solomon algorithm is well known in different fields of computer science. The novelty of this study lies in the different interpretation of the algorithm itself and its scope of application for remote sensing, especially at the preparatory stage,...
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Raquel Redondo, Álvaro Herrero, Emilio Corchado and Javier Sedano
In recent years, the digital transformation has been advancing in industrial companies, supported by the Key Enabling Technologies (Big Data, IoT, etc.) of Industry 4.0. As a consequence, companies have large volumes of data and information that must be ...
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