Tecnológicas

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

691 to 700 of 3,833 Results

Augmented reality for teaching architectural history Nov 3, 2025 Skubs, Danielle; Cuperschmid, Ana Regina Mizrahy, 2025, "Augmented reality for teaching architectural history", https://doi.org/10.25824/redu/QHADLS, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:i7I3D4kQtBHWSNVVpbMjFQ== [fileUNF] Dataset for the study on the application of Augmented Reality (AR) in Architectural History education, part of the thesis entitled ‘Augmented Reality in Architecture and Urbanism Education: Principles, Pedagogical Solutions, and Guidelines.
Augmented Reality for Teaching Architectural History.tab Nov 3, 2025 - Augmented reality for teaching architectural history Tabular Data - 2.1 KB - 11 Variables, 57 Observations - UNF:6:i7I3D4kQtBHWSNVVpbMjFQ==
Data for a systematic review associating the use of immersive virtual reality in the architectural and engineering design process during the early stage Oct 30, 2025 Assumpção, João Paulo Franco; Cuperschmid, Ana Regina Mizrahy, 2025, "Data for a systematic review associating the use of immersive virtual reality in the architectural and engineering design process during the early stage", https://doi.org/10.25824/redu/HNDAGE, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:/FYzUYuXMuOmSU1PqWSaYQ== [fileUNF] Data collected for a systematic review involving virtual reality and the design process at the early stage in articles published between 2015 and 2025.
RSL_2015-2025.tab Oct 30, 2025 - Data for a systematic review associating the use of immersive virtual reality in the architectural and engineering design process during the early stage Tabular Data - 121.2 KB - 71 Variables, 249 Observations - UNF:6:/FYzUYuXMuOmSU1PqWSaYQ==
Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization Oct 24, 2025 Schroder, Ana Julia Oesterreich; Moraes, Matheus Bernardelli de; Coelho, Guilherme Palermo, 2025, "Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization", https://doi.org/10.25824/redu/S4XLON, Repositório de Dados de Pesquisa da Unicamp, V1 This package contains the utility values used in the 0-1 Knapsack Problem (0-1 KP), experimental results, and source code related to the paper "Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimi...
experiments_results.zip Oct 24, 2025 - Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization ZIP Archive - 6.5 MB - MD5: 7b0b3a0067b789c34f29ebcbe00b794a Contains the experimental results for the 0-1 KP benchmark and for the UNISIM-II-D benchmark.
source_code.zip Oct 24, 2025 - Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization ZIP Archive - 470.9 KB - MD5: ec20e6485eafc7339f4f674154343106 Contains the source code (in Python) for reproducing the experiments.
utility_values.zip Oct 24, 2025 - Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization ZIP Archive - 5.1 KB - MD5: ec73ac2d3c2541b4ba960b8022fb672b Contains the utility values assigned to each item for each objective in the 0-1 KP, organized according to the different problem sizes evaluated.
Replication Data for: Aggregation-based estimation of distribution for multi-objective expensive optimization Oct 24, 2025 Moraes, Matheus Bernardelli de; Coelho, Guilherme Palermo, 2025, "Replication Data for: Aggregation-based estimation of distribution for multi-objective expensive optimization", https://doi.org/10.25824/redu/ICLYFV, Repositório de Dados de Pesquisa da Unicamp, V1 This package contains the test instances, experimental results, and source code of the paper Aggregation-based estimation of distribution for multi-objective expensive optimization. The following files are included: File experimental_results.zip: contains the complete experimenta...
experimental_results.zip Oct 24, 2025 - Replication Data for: Aggregation-based estimation of distribution for multi-objective expensive optimization ZIP Archive - 12.6 MB - MD5: bdf7b1e611ec855f89830d3d1c6abaec Contains the complete experimental results.

Augmented reality for teaching architectural history

Nov 3, 2025

Skubs, Danielle; Cuperschmid, Ana Regina Mizrahy, 2025, "Augmented reality for teaching architectural history", https://doi.org/10.25824/redu/QHADLS, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:i7I3D4kQtBHWSNVVpbMjFQ== [fileUNF]

Dataset for the study on the application of Augmented Reality (AR) in Architectural History education, part of the thesis entitled ‘Augmented Reality in Architecture and Urbanism Education: Principles, Pedagogical Solutions, and Guidelines.

Augmented Reality for Teaching Architectural History.tab

Nov 3, 2025 - Augmented reality for teaching architectural history

Tabular Data - 2.1 KB - 11 Variables, 57 Observations -

Data for a systematic review associating the use of immersive virtual reality in the architectural and engineering design process during the early stage

Oct 30, 2025

Assumpção, João Paulo Franco; Cuperschmid, Ana Regina Mizrahy, 2025, "Data for a systematic review associating the use of immersive virtual reality in the architectural and engineering design process during the early stage", https://doi.org/10.25824/redu/HNDAGE, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:/FYzUYuXMuOmSU1PqWSaYQ== [fileUNF]

Data collected for a systematic review involving virtual reality and the design process at the early stage in articles published between 2015 and 2025.

RSL_2015-2025.tab

Oct 30, 2025 - Data for a systematic review associating the use of immersive virtual reality in the architectural and engineering design process during the early stage

Tabular Data - 121.2 KB - 71 Variables, 249 Observations -

Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization

Oct 24, 2025

Schroder, Ana Julia Oesterreich; Moraes, Matheus Bernardelli de; Coelho, Guilherme Palermo, 2025, "Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization", https://doi.org/10.25824/redu/S4XLON, Repositório de Dados de Pesquisa da Unicamp, V1

This package contains the utility values used in the 0-1 Knapsack Problem (0-1 KP), experimental results, and source code related to the paper "Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimi...

experiments_results.zip

Oct 24, 2025 - Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization

ZIP Archive - 6.5 MB -

Contains the experimental results for the 0-1 KP benchmark and for the UNISIM-II-D benchmark.

source_code.zip

Oct 24, 2025 - Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization

ZIP Archive - 470.9 KB -

Contains the source code (in Python) for reproducing the experiments.

utility_values.zip

Oct 24, 2025 - Replication data for: Investigating the impacts of different crossover and mutation operators in decomposition-based multi-objective expensive discrete optimization

ZIP Archive - 5.1 KB -

Contains the utility values assigned to each item for each objective in the 0-1 KP, organized according to the different problem sizes evaluated.

Replication Data for: Aggregation-based estimation of distribution for multi-objective expensive optimization

Oct 24, 2025

Moraes, Matheus Bernardelli de; Coelho, Guilherme Palermo, 2025, "Replication Data for: Aggregation-based estimation of distribution for multi-objective expensive optimization", https://doi.org/10.25824/redu/ICLYFV, Repositório de Dados de Pesquisa da Unicamp, V1

This package contains the test instances, experimental results, and source code of the paper Aggregation-based estimation of distribution for multi-objective expensive optimization. The following files are included: File experimental_results.zip: contains the complete experimenta...

experimental_results.zip

Oct 24, 2025 - Replication Data for: Aggregation-based estimation of distribution for multi-objective expensive optimization

ZIP Archive - 12.6 MB -

Contains the complete experimental results.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications