Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ruan M. Carvalho"'
Autor:
Leonardo Goliatt, Diego E. B. Gomes, Iago G. L. Rosa, Priscila Vanessa Zabala Capriles Goliatt, Ruan M. Carvalho
Machine Learning (ML) techniques are becoming an integral part of rational drug design and discovery. Data-driven modeling regularly outperforms physics-based models for predicting molecular binding affinities, placing ML as a promising tool. Cyclode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d98f619bebd6709940fd6d711c52ee89
https://doi.org/10.21203/rs.3.rs-372834/v1
https://doi.org/10.21203/rs.3.rs-372834/v1
Autor:
Iago G. L. Rosa, Ruan M. Carvalho, Leonardo Goliatt da Fonseca, Egberto Pereira, Camila Martins Saporetti
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811615429
Predictive models for classifying the distribution of heterogeneities and quality in hydrocarbon reservoirs are fundamental for exploring and optimizing oil and gas field production. Determining heterogeneities manually through facies is generally a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f499f742b5c910c7ec2ecafb5210b778
https://doi.org/10.1007/978-981-16-1543-6_31
https://doi.org/10.1007/978-981-16-1543-6_31
Autor:
Ruan M. Carvalho, Iago G. L. Rosa, Leonardo Goliatt, Diego E. B. Gomes, Priscila Vanessa Zabala Capriles Goliatt
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811615429
Applying in silico experiments is part of interdisciplinary areas such as the rational study of drugs since it reduces the time and cost to discover new drugs. This work applies a hybrid machine learning technique coupling Randomized Search and Suppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79bb3c35979ee3d41a241a5108f88d6d
https://doi.org/10.1007/978-981-16-1543-6_30
https://doi.org/10.1007/978-981-16-1543-6_30
Publikováno v:
Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782). 5
The process of protein modeling usually involves the production of a variety of structures requiring efficient tools for structure model comparison attempting to choose the best three-dimensional (3D) structure. This paper introduces an alternative m