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ORCIDMichael M. Diniz
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2020 – today
- 2024
[j3]Jaqueline A. J. P. Soares
, Michael M. Diniz, Luiz Bacelar, Glauston R. T. Lima, Allan K. S. Soares, Stephan Stephany, Leonardo B. L. Santos:
Uncertainty propagation analysis for distributed hydrological forecasting using a neural network. Trans. GIS 28(5): 971-992 (2024)- 2022
- [j2]Stella F. Costa, Michael M. Diniz:
Application of logistic regression to predict the failure of students in subjects of a mathematics undergraduate course. Educ. Inf. Technol. 27(9): 12381-12397 (2022) - [c4]Jaqueline A. J. P. Soares, Michael M. Diniz, Leonardo B. L. Santos:
Statistical analysis of a spatially explicit hydrological forecasting model using remote sensing of the atmosphere. GEOINFO 2022: 223-228 - [c3]Moiseis S. Cecconello, Michael M. Diniz, Rodney Carlos Bassanezi:
Analyzing the Sars-Cov-2 Pandemic Outbreak Using Fuzzy Sets and the SIR Model. NAFIPS 2022: 40-51 - 2021
- [j1]Michael M. Diniz, Luciana Takata Gomes, Rodney Carlos Bassanezi:
Optimization of fuzzy-valued functions using Zadeh's extension principle. Fuzzy Sets Syst. 404: 23-37 (2021)
2010 – 2019
- 2018
- [c2]Michael M. Diniz, Luciana Takata Gomes, Rodney Carlos Bassanezi:
Solution to Convex Variational Problems with Fuzzy Initial Condition Using Zadeh's Extension. NAFIPS 2018: 431-438 - 2015
- [c1]Luciana Takata Gomes, Michael M. Diniz, Tiago A. Coimbra:
A new interpretation on fuzzy differential equations: Linguistic concepts evolving over time. NAFIPS/WConSC 2015: 1-5
Coauthor Index
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