Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Fachada, Nuno"'
This paper presents an initial exploration on the use of 2D cellular automata (CA) for generating 3D terrains through a simple yet effective additive approach. By experimenting with multiple CA transition rules, this preliminary investigation yielded
Externí odkaz:
http://arxiv.org/abs/2406.00443
Publikováno v:
Software Impacts, 20, 100657, 2024
Raster Forge is a Python library and graphical user interface for raster data manipulation and analysis. The tool is focused on remote sensing applications, particularly in wildfire management. It allows users to import, visualize, and process raster
Externí odkaz:
http://arxiv.org/abs/2404.06389
Publikováno v:
2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE), 1-7, IEEE, 2024
The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms. The adoption of machine learning and big data techniques has equipped these platforms wit
Externí odkaz:
http://arxiv.org/abs/2404.03754
Text clustering is an important method for organising the increasing volume of digital content, aiding in the structuring and discovery of hidden patterns in uncategorised data. The effectiveness of text clustering largely depends on the selection of
Externí odkaz:
http://arxiv.org/abs/2403.15112
This paper highlights and summarizes the most important multispectral indices and associated methodologies for fire management. Various fields of study are examined where multispectral indices align with wildfire prevention and management, including
Externí odkaz:
http://arxiv.org/abs/2309.01751
Autor:
Fachada, Nuno, de Andrade, Diogo
Publikováno v:
Knowledge-Based Systems, 277, 110836, 2023
Synthetic data is essential for assessing clustering techniques, complementing and extending real data, and allowing for more complete coverage of a given problem's space. In turn, synthetic data generators have the potential of creating vast amounts
Externí odkaz:
http://arxiv.org/abs/2301.10327
Autor:
Petukhova, Alina, Fachada, Nuno
Publikováno v:
Data, 8(5), 74, 2023
This article presents a dataset of 10,917 news articles with hierarchical news categories collected between 1 January 2019 and 31 December 2019. We manually labeled the articles based on a hierarchical taxonomy with 17 first-level and 109 second-leve
Externí odkaz:
http://arxiv.org/abs/2212.12061
Publikováno v:
IEEE Access, 10, 43093-43111, 2022
In this paper we present a technique for procedurally generating 3D maps using a set of premade meshes which snap together based on designer-specified visual constraints. The proposed approach avoids size and layout limitations, offering the designer
Externí odkaz:
http://arxiv.org/abs/2108.00056
Autor:
Fachada, Nuno1 (AUTHOR) nuno.fachada@ulusofona.pt, David, Nuno2 (AUTHOR) nuno.david@iscte-iul.pt
Publikováno v:
Algorithms. Jun2024, Vol. 17 Issue 6, p265. 4p.
Autor:
Fachada, Nuno
Publikováno v:
Computers and Education: Artificial Intelligence, 2, 100014, 2021
ColorShapeLinks is an AI board game competition framework specially designed for students and educators in videogame development, with openness and accessibility in mind. The competition is based on an arbitrarily-sized version of the Simplexity boar
Externí odkaz:
http://arxiv.org/abs/2012.09015