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41 to 50 of 3,590 Results

printedVSaugmentedreality_REDU3.xlsx Mar 11, 2026 - Printed instructions vs. augmented reality for DIY furniture assembly MS Excel Spreadsheet - 5.1 KB - MD5: a6f984a1538fdc25f062e24b135c6da9
Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study Mar 6, 2026 Akita, Mário Mitsuo; Coelho, Guilherme Palermo, 2026, "Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study", https://doi.org/10.25824/redu/GPRGCU, Repositório de Dados de Pesquisa da Unicamp, V1 This package contains datasets, experimental results and source codes for the paper: Using normalizing flows for stock price prediction through artificial scenario generation: a comparative study.
datasets.zip Mar 6, 2026 - Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study ZIP Archive - 8.0 MB - MD5: 117a68c1c030f1c0601532408964c7b6 This file contains the datasets from all assets (IBOV, ABEV3, PETR4, ITUB4, IVVB11) used in the experiments.
results.zip Mar 6, 2026 - Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study Unknown - 625.1 KB - MD5: 664ae602b0d4aa54e7482c06c22f9f80 This file contains the spreadsheets generated during the experimental analysis and hyperparameter optimization.
sources.zip Mar 6, 2026 - Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study Unknown - 57.0 MB - MD5: d96e827390b621ed7134c108c7ee8423 This file contains the source-codes developed for the experiments. It includes the requirements, Python codes and a brief explanation on how to run the experiments.
Levantamento de dados ambientais para a produção de argamassas com areia descartada de fundição Mar 5, 2026 Sbroio, Ivair José; Ferreira, Gisleiva Cristina dos Santos, 2026, "Levantamento de dados ambientais para a produção de argamassas com areia descartada de fundição", https://doi.org/10.25824/redu/UMNZY9, Repositório de Dados de Pesquisa da Unicamp, V1 O desenvolvimento deste trabalho compreendeu uma revisão integrativa da literatura atrelada a um estudo de caso analítico. Por meio dessa estratégia, foi possível quantificar e analisar indicadores ambientais, especificamente o potencial de emissão de Gases de Efeito Estufa (GEE)...
Artigos_catalogo.xlsx Mar 5, 2026 - Levantamento de dados ambientais para a produção de argamassas com areia descartada de fundição MS Excel Spreadsheet - 92.4 KB - MD5: 08565863e6c58cc9cd5a74a87f33f120
Experimental database of pressure and void waves in a transient vertical air-water flow Mar 5, 2026 Toledo, Gabriela Pereira; Araújo, Cáio César Silva; Mazza, Ricardo Augusto, 2025, "Experimental database of pressure and void waves in a transient vertical air-water flow", https://doi.org/10.25824/redu/T8BFB7, Repositório de Dados de Pesquisa da Unicamp, V2 This experimental database aimed to obtain the pressure and void fraction wave velocities in air-water slug flow in the vertical orientation. The database contains the raw pressure and dual impedance probe data in a fully instrumented test section. One hundred repetitions for eac...
Replication data for: Guiding microservices decomposition through performance and modularity analysis Mar 5, 2026 Pedrosa, Gustavo Frederico Temple; França, Breno Bernard Nicolau de; Cafeo, Bruno Barbieri de Pontes, 2025, "Replication data for: Guiding microservices decomposition through performance and modularity analysis", https://doi.org/10.25824/redu/DKK63X, Repositório de Dados de Pesquisa da Unicamp, V3 This artifact provides the instructions for Granify, a method for guiding microservices decomposition through performance and modularity analysis. This artifact contains a dataset with the project's major results, microservices used, and a `README` with the steps on how to build...
cpu_mem_usage.sh Mar 5, 2026 - Replication data for: Guiding microservices decomposition through performance and modularity analysis Shell Script - 2.1 KB - MD5: bea8116fe75c504c8b0a89e95e50c957 Code CPU and Memory usage script

printedVSaugmentedreality_REDU3.xlsx

Mar 11, 2026 - Printed instructions vs. augmented reality for DIY furniture assembly

MS Excel Spreadsheet - 5.1 KB -

Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study

Mar 6, 2026

Akita, Mário Mitsuo; Coelho, Guilherme Palermo, 2026, "Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study", https://doi.org/10.25824/redu/GPRGCU, Repositório de Dados de Pesquisa da Unicamp, V1

This package contains datasets, experimental results and source codes for the paper: Using normalizing flows for stock price prediction through artificial scenario generation: a comparative study.

datasets.zip

Mar 6, 2026 - Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study

ZIP Archive - 8.0 MB -

This file contains the datasets from all assets (IBOV, ABEV3, PETR4, ITUB4, IVVB11) used in the experiments.

results.zip

Mar 6, 2026 - Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study

Unknown - 625.1 KB -

This file contains the spreadsheets generated during the experimental analysis and hyperparameter optimization.

sources.zip

Mar 6, 2026 - Replication data for: Using normalizing flows for stock price prediction through artificial scenario generation - a comparative study

Unknown - 57.0 MB -

This file contains the source-codes developed for the experiments. It includes the requirements, Python codes and a brief explanation on how to run the experiments.

Levantamento de dados ambientais para a produção de argamassas com areia descartada de fundição

Mar 5, 2026

Sbroio, Ivair José; Ferreira, Gisleiva Cristina dos Santos, 2026, "Levantamento de dados ambientais para a produção de argamassas com areia descartada de fundição", https://doi.org/10.25824/redu/UMNZY9, Repositório de Dados de Pesquisa da Unicamp, V1

O desenvolvimento deste trabalho compreendeu uma revisão integrativa da literatura atrelada a um estudo de caso analítico. Por meio dessa estratégia, foi possível quantificar e analisar indicadores ambientais, especificamente o potencial de emissão de Gases de Efeito Estufa (GEE)...

Artigos_catalogo.xlsx

Mar 5, 2026 - Levantamento de dados ambientais para a produção de argamassas com areia descartada de fundição

MS Excel Spreadsheet - 92.4 KB -

Experimental database of pressure and void waves in a transient vertical air-water flow

Mar 5, 2026

Toledo, Gabriela Pereira; Araújo, Cáio César Silva; Mazza, Ricardo Augusto, 2025, "Experimental database of pressure and void waves in a transient vertical air-water flow", https://doi.org/10.25824/redu/T8BFB7, Repositório de Dados de Pesquisa da Unicamp, V2

This experimental database aimed to obtain the pressure and void fraction wave velocities in air-water slug flow in the vertical orientation. The database contains the raw pressure and dual impedance probe data in a fully instrumented test section. One hundred repetitions for eac...

Replication data for: Guiding microservices decomposition through performance and modularity analysis

Mar 5, 2026

Pedrosa, Gustavo Frederico Temple; França, Breno Bernard Nicolau de; Cafeo, Bruno Barbieri de Pontes, 2025, "Replication data for: Guiding microservices decomposition through performance and modularity analysis", https://doi.org/10.25824/redu/DKK63X, Repositório de Dados de Pesquisa da Unicamp, V3

This artifact provides the instructions for Granify, a method for guiding microservices decomposition through performance and modularity analysis. This artifact contains a dataset with the project's major results, microservices used, and a `README` with the steps on how to build...

cpu_mem_usage.sh

Mar 5, 2026 - Replication data for: Guiding microservices decomposition through performance and modularity analysis

Shell Script - 2.1 KB -

Code

CPU and Memory usage script

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