All publications

Long listing of all publications including from courses, my classroom materials, and my academic research-related.

Courses

Publications developed as part of the classroom activities developed in the courses I teach:

Course publications page

H2 2023 classroom material

Teaching material published by me, as part of the Machine Design course.

• MIRANDA, E. F. Análise de falhas e cálculo de esforços. Projeto de Máquina. São Paulo: Scientia, 2023a. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59641.
• MIRANDA, E. F. Análise dimensional e estrutural. Projeto de Máquina. São Paulo: Scientia, 2023b. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59642.
• MIRANDA, E. F. Avaliação de aspectos técnicos e econômicos. Projeto de Máquina. São Paulo: Scientia, 2023c. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59639.
• MIRANDA, E. F. Dimensionamento do sistema de transmissão de potência. Projeto de Máquina. São Paulo: Scientia, 2023d. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59644.
• MIRANDA, E. F. Elementos auxiliares de potência. Projeto de Máquina. São Paulo: Scientia, 2023e. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59649.
• MIRANDA, E. F. Elementos de ligação. Projeto de Máquina. São Paulo: Scientia, 2023f. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59645.
• MIRANDA, E. F. Elementos de potência. Projeto de Máquina. São Paulo: Scientia, 2023g. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59648.
• MIRANDA, E. F. Introdução ao projeto de máquina. Projeto de Máquina. São Paulo: Scientia, 2023h. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59638.
• MIRANDA, E. F. Mancais, freios e cilindros pressurizados. Projeto de Máquina. São Paulo: Scientia, 2023i. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59647.
• MIRANDA, E. F. Métodos, custos, ferramental, materiais, cronograma. Projeto de Máquina. São Paulo: Scientia, 2023j. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59640.
• MIRANDA, E. F. Projeto de elementos de transmissão. Projeto de Máquina. São Paulo: Scientia, 2023k. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59646.
• MIRANDA, E. F. Prototipagem. Projeto de Máquina. São Paulo: Scientia, 2023l. Available at: https://repositorio.pgsscogna.com.br/handle/123456789/59643.

Publications from my research

Publications from my academic postgraduate research at INPE.

• MIRANDA, E. F. Common MPI-based HPC Approaches in Python Evaluated for Selected Test Cases. 2022. 195 f. Master’s Thesis – National Institute for Space Research (INPE), São José dos Campos, 2022. http://urlib.net/ibi/QABCDSTQQW/46C4U9H.
• MIRANDA, E. F. Comparison of CNN and MLP Artificial Neural Network Models for an Optical Character Recognition Test Case. 2022. https://doi.org/10.5281/zenodo.10676917.
• MIRANDA, E. F. Solution of a One-Dimensional Viscous Burgers’ Equation Using a Physics-Informed Neural Network and a Gaussian Quadrature Method. 2022. https://doi.org/10.5281/zenodo.10676900.
• MIRANDA, E. F.; SANTOS, L. B. L.; STEPHANY, S. Data-Driven Parameter Discovery of a One-Dimensional Burgers’ Equation Using a Physics-Informed Neural Network. 2023. https://doi.org/10.5281/zenodo.10676770.
• MIRANDA, E. F.; STEPHANY, S. Common HPC Approaches in Python Evaluated for a Scientific Computing Test Case. Revista Cereus, vol. 13, no. 2, p. 84–98, 5 Jul. 2021. DOI 10.18605/2175-7275/cereus.v13n2p84-98. http://www.ojs.unirg.edu.br/index.php/1/article/view/3408.
• MIRANDA, E. F.; STEPHANY, S. Common MPI-Based Solutions for High-Performance Processing in Python Evaluated on Selected Test Cases. [S. l.: s. n.], 2022. https://zenodo.org/doi/10.5281/zenodo.10676832.
• MIRANDA, E. F.; STEPHANY, S. Comparison of high-performance computing approaches in the Python environment for a five-point stencil case study. Online: [s. n.], 2021. https://zenodo.org/doi/10.5281/zenodo.10672456.
• MIRANDA, E. F.; STEPHANY, S. Comparison of High-performance Computing Approaches in the Python Environment for a Five-point Stencil Test Problem. 2021. XV Brazilian e-Science Workshop, at XLI Congress of the Brazilian Computer Society (CSBC-2021). SBC, 2021. pp. 33–40. DOI: 10.5753/bresci.2021.15786. Available at: https://sol.sbc.org.br/index.php/bresci/article/view/15786. Code repository: GitHub - efurlanm/bs21: Python resources in HPC.

Last edited: 2025-02-07