Repositório de Dados de Pesquisa da Unicamp

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REDU é a plataforma oficial da Unicamp para o depósito, preservação, compartilhamento, reutilização e reprodutibilidade dos dados de pesquisa gerados na Universidade. Para mais informações, acesse o link contendo o tutorial, as perguntas frequentes (FAQ) e os canais de contato.

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14,581 to 14,590 of 15,578 Results

CP6-280_LN.jpg Feb 17, 2023 - Petrographic images of Permian coprolites JPEG Image - 11.0 MB - MD5: 114b4a7b491e4bd305ff1fc94b19247e image Discoid coprolite. Longitudinal section. Scale (yellow bar) = 500 µm.
CP6-281_LN.jpg Feb 17, 2023 - Petrographic images of Permian coprolites JPEG Image - 23.5 MB - MD5: e2be30b461ea203b1059f7c282cabc58 image Teardrop coprolite. Longitudinal section. Scale (yellow bar) = 500 µm.
CP6-282a_LN.jpg Feb 17, 2023 - Petrographic images of Permian coprolites JPEG Image - 16.6 MB - MD5: 390a365f099e5c8275c183b1962d9567 image Teardrop coprolite. Transversal section. Scale (yellow bar) = 500 µm.
CP6-282b_LN.jpg Feb 17, 2023 - Petrographic images of Permian coprolites JPEG Image - 8.2 MB - MD5: 11aa31fc46588a1376730d19b105fb3c image Teardrop coprolite. Transversal section. Scale (yellow bar) = 500 µm.
Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS Feb 17, 2023 - Tecnológicas Moraes, Matheus Bernardelli de; Coelho, Guilherme Palermo, 2023, "Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS", https://doi.org/10.25824/redu/ZXJOQ5, Repositório de Dados de Pesquisa da Unicamp, V1 This package contains the datasets, experimental results and source code of the paper Effects of the Random Forests Hyper-Parameters in Surrogate Models for Multi-Objective Combinatorial Optimization: A Case Study using MOEA/D-RFTS. The following files are included: File datasets...
datasets.zip Feb 17, 2023 - Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS Unknown - 3.3 MB - MD5: 09ef2924b5be3be70f5465d8feb475d4 Contains the datasets to train and test the Random Forest in an online learning process on the problems Binary Multi-Objective Knapsack Problem (BIN_MOKP), Binary Multi-Objective Unconstrained Combinatorial Optimization Problem (BIN_MUCOP) and Integer Multi-Objective Unconstraine...
experimental_results.zip Feb 17, 2023 - Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS Unknown - 3.9 MB - MD5: 66fd6ddbc0885f86a1c7bc294aeb187c Experimental results of both prediction and optimization.
source_code.zip Feb 17, 2023 - Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS Unknown - 3.5 MB - MD5: e8acbcdf89ca9c4dbb27fce9a8a1a5ae Source code (in Python) with the implementations of the algorithms MOEA/D, MOEA/D-NFTS and MOEA/D-RFTS. It also includes the test instances of the benchmark problems.
Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid" Jan 30, 2023 - Tecnológicas Vidotto, Danilo Corsi; Tavares, Guilherme Miranda, 2023, "Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"", https://doi.org/10.25824/redu/0K5ZPE, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:QekTJfjcrp3FdSENIsMpTg== [fileUNF] Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"
RAW DATA - Vidotto&Tavares 2020.tab Jan 30, 2023 - Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid" Tabular Data - 270 B - 12 Variables, 4 Observations - UNF:6:PzKQC5PUczTdyLxqIWCARQ==

CP6-280_LN.jpg

Feb 17, 2023 - Petrographic images of Permian coprolites

JPEG Image - 11.0 MB -

image

Discoid coprolite. Longitudinal section. Scale (yellow bar) = 500 µm.

CP6-281_LN.jpg

Feb 17, 2023 - Petrographic images of Permian coprolites

JPEG Image - 23.5 MB -

image

Teardrop coprolite. Longitudinal section. Scale (yellow bar) = 500 µm.

CP6-282a_LN.jpg

Feb 17, 2023 - Petrographic images of Permian coprolites

JPEG Image - 16.6 MB -

image

Teardrop coprolite. Transversal section. Scale (yellow bar) = 500 µm.

CP6-282b_LN.jpg

Feb 17, 2023 - Petrographic images of Permian coprolites

JPEG Image - 8.2 MB -

image

Teardrop coprolite. Transversal section. Scale (yellow bar) = 500 µm.

Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS

Feb 17, 2023 - Tecnológicas

Moraes, Matheus Bernardelli de; Coelho, Guilherme Palermo, 2023, "Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS", https://doi.org/10.25824/redu/ZXJOQ5, Repositório de Dados de Pesquisa da Unicamp, V1

This package contains the datasets, experimental results and source code of the paper Effects of the Random Forests Hyper-Parameters in Surrogate Models for Multi-Objective Combinatorial Optimization: A Case Study using MOEA/D-RFTS. The following files are included: File datasets...

datasets.zip

Feb 17, 2023 - Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS

Unknown - 3.3 MB -

Contains the datasets to train and test the Random Forest in an online learning process on the problems Binary Multi-Objective Knapsack Problem (BIN_MOKP), Binary Multi-Objective Unconstrained Combinatorial Optimization Problem (BIN_MUCOP) and Integer Multi-Objective Unconstraine...

experimental_results.zip

Feb 17, 2023 - Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS

Unknown - 3.9 MB -

Experimental results of both prediction and optimization.

source_code.zip

Feb 17, 2023 - Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS

Unknown - 3.5 MB -

Source code (in Python) with the implementations of the algorithms MOEA/D, MOEA/D-NFTS and MOEA/D-RFTS. It also includes the test instances of the benchmark problems.

Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"

Jan 30, 2023 - Tecnológicas

Vidotto, Danilo Corsi; Tavares, Guilherme Miranda, 2023, "Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"", https://doi.org/10.25824/redu/0K5ZPE, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:QekTJfjcrp3FdSENIsMpTg== [fileUNF]

Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"

RAW DATA - Vidotto&Tavares 2020.tab

Jan 30, 2023 - Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"

Tabular Data - 270 B - 12 Variables, 4 Observations -

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