1,121 to 1,130 of 3,246 Results
Oct 3, 2025
Sousa, Marcus Lima; Formiga, André Luiz Barboza, 2025, "Graphical user interface software for digital image processing", https://doi.org/10.25824/redu/59RG9B, Repositório de Dados de Pesquisa da Unicamp, V1
Dataset comprising a graphical user interface (GUI) software, videos demonstrating its use as a research tool, and results obtained during the analyses. |
ZIP Archive - 486.4 MB -
MD5: 5664098d1542c5a33095d16de9932199
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Sep 26, 2025
Fonseca Filho, Macello Jales de Carvalho; Holanda, Pedro Cunha de, 2025, "Supporting data for JUNO neutrino mass ordering sensitivity analysis", https://doi.org/10.25824/redu/PVTMMD, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset accompanies the Master’s dissertation “Computational Analysis of the JUNO Experiment’s Sensitivity to the Neutrino Mass Ordering”. It includes several NumPy .npy and .txt files with simulated energy spectra, metadata, and statistical analysis results, together with p... |
ZIP Archive - 7.2 MB -
MD5: ecbbb7a5dfa01714d6ae6a16ec57cef5
Python .ipynb notebooks containing the codes used to generate the data, plots, and analyses presented in the dissertation. |
ZIP Archive - 51.3 MB -
MD5: e3d5a7dd072395fcfbcccc80464afcd5
NumPy .npy files with simulated energy spectra, metadata, statistical results, and background contributions used in the sensitivity analyses. |
ZIP Archive - 6.9 MB -
MD5: 875570a6e615ac57f9d330bcd6ae9ebc
.png files corresponding to the figures included in the dissertation, generated directly from the Python notebooks. |
Plain Text - 3.1 KB -
MD5: bf777a7406e1af5c379d57d5fede02b9
README file providing an overview and guidance for using the dataset. |
Sep 25, 2025
Lima, Reneé Rodrigues; Florindo, João Batista, 2025, "Base de dados experimental associada à tese sobre previsão de séries temporais com aprendizado profundo e teoria do caos", https://doi.org/10.25824/redu/O8W2AB, Repositório de Dados de Pesquisa da Unicamp, V1
Este pacote de dados contém séries temporais utilizadas nos experimentos da tese Integrando Teoria do Caos e Aprendizado Profundo para a Previsão de Séries Temporais, desenvolvida no Instituto de Matemática, Estatística e Computação Científica (IMECC) da UNICAMP. O conjunto inclu... |
Sep 25, 2025 -
Base de dados experimental associada à tese sobre previsão de séries temporais com aprendizado profundo e teoria do caos
ZIP Archive - 946.9 KB -
MD5: 78f1c30e451f9aee610853628f484b9e
Graficos1 |
Sep 25, 2025 -
Base de dados experimental associada à tese sobre previsão de séries temporais com aprendizado profundo e teoria do caos
ZIP Archive - 315.8 KB -
MD5: 25b64396449ab6f662d955685036f386
Graficos1 |
