3,451 to 3,460 of 3,858 Results
Oct 4, 2023
Toledo, Gabriela Pereira; Mazza, Ricardo Augusto, 2023, "Experimental database of air-water slug flow in a long vertical pipe", https://doi.org/10.25824/redu/XJ05CB, Repositório de Dados de Pesquisa da Unicamp, V1
Experimental data for air-water slug flow in a long vertical pipe. It contains data for bubble and liquid slug lengths, bubble and liquid slug velocities, frequency, pressure and pressure gradient, and volumetric void fraction. Both raw and processed data are available. |
RAR Archive - 704.6 MB -
MD5: f433c739362def50a6edfa4c2471c854
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Sep 26, 2023
Nazatto, Thales Eduardo; Rubira, Cecília Mary Fischer, 2023, "Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics", https://doi.org/10.25824/redu/QO3CGG, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:AKrwwHRJZHgVPGKAxY7QvQ== [fileUNF]
This research proposes a presents a semi-autonomous framework to train machine learning models that identifies more optimized configurations across different contexts. Several case studies were conducted to determine the feasibility and extensibility of the proposed framework. Th... |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
Tabular Data - 5.9 MB - 15 Variables, 48842 Observations - UNF:6:OHfKRD3JlsvMnf3iK3R/CA==
Adult Income Dataset |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
RAR Archive - 459.0 KB -
MD5: 2d283c56971c459d10911f31488c8b02
Codes used to count lines on case studies 2 and 3 |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
RAR Archive - 37.6 KB -
MD5: 4e4b84e25d2b9887f3359e12d504b062
System configuration files used in each experiment |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
Unknown - 79.2 KB -
MD5: 7747fc3ebd57a0f879ec58841ee33286
German Credit Dataset, used in case study 1 |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
Tabular Data - 242.3 MB - 22 Variables, 1345310 Observations - UNF:6:UrOjDuI1TKgnS/J+za81NA==
Lendingclub Dataset, used in case studies 2 and 3 |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
RAR Archive - 1.3 MB -
MD5: 37852e60343ad97bd0f7cc6cdd9fef33
Data generated on system's Machine Learning Module and used by the Autonomic Manager's Analyzer at experiments. This dataset contains the architectural configuration metadata and the model metrics |
Sep 19, 2023 -
Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
RAR Archive - 8.5 MB -
MD5: 485da5c3ad16cfdd4ba612104514c1e6
The compressed file contains a .csv dataset with color features extracted from the images, physicochemical (pH, soluble solids, titratable acidity), and pigment (chlorophyll a and b, anthocyanin, carotenoid) analysis data. It also has a specific .csv dataset of laboratory analysi... |
