Výsledky vyhledávání - "Evsukoff, Alexandre G."

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A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning

Autor: Barros, Pablo M., Sardinha, Roosevelt de L., Arboleda, Giovanny A. M., Valente, Lessandro de S. S., de Melo, Isabelle R. V., Aveleda, Albino, Bulcão, André, Netto, Sergio L., Evsukoff, Alexandre G.

The recent development of deep learning (DL) methods for computer vision has been driven by the creation of open benchmark datasets on which new algorithms can be tested and compared with reproducible results. Although DL methods have many applicatio

Externí odkaz: http://arxiv.org/abs/2410.08231

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Deep learning for lithological classification of carbonate rock micro-CT images

Autor: Anjos, Carlos E. M. dos, Avila, Manuel R. V., Vasconcelos, Adna G. P., Neta, Aurea M. P., Medeiros, Lizianne C., Evsukoff, Alexandre G., Surmas, Rodrigo

In addition to the ongoing development, pre-salt carbonate reservoir characterization remains a challenge, primarily due to inherent geological particularities. These challenges stimulate the use of well-established technologies, such as artificial i

Externí odkaz: http://arxiv.org/abs/2007.15693

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Entropy as a measure of attractiveness and socioeconomic complexity in Rio de Janeiro metropolitan area

Autor: Lenormand, Maxime, Samaniego, Horacio, Chaves, Julio C., Vieira, Vinicius F., da Silva, Moacyr A. H. B., Evsukoff, Alexandre G.

Publikováno v: Entropy 22, 368 (2020)

Defining and measuring spatial inequalities across the urban environment remains a complex and elusive task that has been facilitated by the increasing availability of large geolocated databases. In this study, we rely on a mobile phone dataset and a

Externí odkaz: http://arxiv.org/abs/2003.10340

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