Zobrazeno 1 - 10
of 252
pro vyhledávání: '"Bruno, Odemir M"'
Autor:
Rodrigues, Naruna E., Alcarás, José Renato, Bruno, Odemir M., Nakamura, Gilberto, Martinez, Alexandre S.
In fields such as acoustics, electromagnetism, and quantum physics, the scattering of waves by localized objects is a fundamental phenomenon. Building on this, the present study investigates the energy distribution within a spherical scattering cente
Externí odkaz:
http://arxiv.org/abs/2410.00666
Publikováno v:
Cellular Automata. ACRI 2024. Lecture Notes in Computer Science, vol 14978. Springer, Cham., 2024
Cellular automata (CAs) and convolutional neural networks (CNNs) are closely related due to the local nature of information processing. The connection between these topics is beneficial to both related fields, for conceptual as well as practical reas
Externí odkaz:
http://arxiv.org/abs/2409.02722
Autor:
Scabini, Leonardo, Sacilotti, Andre, Zielinski, Kallil M., Ribas, Lucas C., De Baets, Bernard, Bruno, Odemir M.
Texture, a significant visual attribute in images, has been extensively investigated across various image recognition applications. Convolutional Neural Networks (CNNs), which have been successful in many computer vision tasks, are currently among th
Externí odkaz:
http://arxiv.org/abs/2406.06136
Autor:
Zielinski, Kallil M., Scabini, Leonardo, Ribas, Lucas C., da Silva, Núbia R., Beeckman, Hans, Verwaeren, Jan, Bruno, Odemir M., De Baets, Bernard
In recent years, we have seen many advancements in wood species identification. Methods like DNA analysis, Near Infrared (NIR) spectroscopy, and Direct Analysis in Real Time (DART) mass spectrometry complement the long-established wood anatomical ass
Externí odkaz:
http://arxiv.org/abs/2404.08585
Autor:
Rollier, Michiel, Zielinski, Kallil M. C., Daly, Aisling J., Bruno, Odemir M., Baetens, Jan M.
Cellular automata (CAs) are fully-discrete dynamical models that have received much attention due to the fact that their relatively simple setup can nonetheless express highly complex phenomena. Despite the model's theoretical maturity and abundant c
Externí odkaz:
http://arxiv.org/abs/2401.08408
Autor:
Scabini, Leonardo, Zielinski, Kallil M., Ribas, Lucas C., Gonçalves, Wesley N., De Baets, Bernard, Bruno, Odemir M.
Texture analysis is a classical yet challenging task in computer vision for which deep neural networks are actively being applied. Most approaches are based on building feature aggregation modules around a pre-trained backbone and then fine-tuning th
Externí odkaz:
http://arxiv.org/abs/2303.04554
Autor:
Merenda, Joao V., Bruno, Odemir M.
The Watts-Strogatz model (WS) has been demonstrated to effectively describe real-world networks due to its ability to reproduce the small-world properties commonly observed in a variety of systems, including social networks, computer networks, bioche
Externí odkaz:
http://arxiv.org/abs/2301.08956
Autor:
Neiva, Mariane B., Bruno, Odemir M.
The use of complex networks as a modern approach to understanding the world and its dynamics is well-established in literature. The adjacency matrix, which provides a one-to-one representation of a complex network, can also yield several metrics of t
Externí odkaz:
http://arxiv.org/abs/2301.08364
Autor:
Valle, João, Bruno, Odemir M.
Recently patterns were found in the least significant digits in the logistic map orbits in the chaotic regime. However, the dynamic of these digits was not explored in deep. We propose a new interpretation of the patterns found in the least significa
Externí odkaz:
http://arxiv.org/abs/2212.01459
Network modeling has proven to be an efficient tool for many interdisciplinary areas, including social, biological, transport, and many other real world complex systems. In addition, cellular automata (CA) are a formalism that has been studied in the
Externí odkaz:
http://arxiv.org/abs/2211.13000