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1 to 10 of 3,796 Results
Jun 3, 2026
Luz, Gustavo Pessoa Caixeta Pinto da; Borin, Juliana Freitag; Gomez Gonzalez, Luis Fernando, 2026, "Source code and replication data for camera-based smart parking vehicle detection using deep learning models on edge devices", https://doi.org/10.25824/redu/Q3WUTU, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset corresponds to the research developed in the MSc dissertation "Selection and Optimization of Pre-Trained Deep Learning Models for Camera-Based Smart Parking Systems on Edge Devices". We share the source code, instructions to reproduce the experiments, and instruction...
Jun 1, 2026
Oliveira, Marcus Vinícius Medeiros; Daniel, Gregory Bregion, 2026, "LAMAR dataset: experimental and numerical response of a rotor–hydrodynamic bearing system under varying oil flow, temperature, and unbalance conditions", https://doi.org/10.25824/redu/FRB6ZZ, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset obtained contains experimental and numerical vibrational response of a rotor supported by hydrodynamic bearings under controlled variations of oil flow rate, temperature, and unbalance levels. The experiments were conducted at LAMAR (University of Campinas) to acquir...
May 29, 2026
Leitão, Fábio Fleming; Siqueira, Gustavo Henrique, 2026, "Advances in the quantification of seismic performance of reinforced concrete buildings in Brazil", https://doi.org/10.25824/redu/CT3BCL, Repositório de Dados de Pesquisa da Unicamp, V1
1. General This folder contains the main datasets generated during the development of the doctoral thesis, including results from wind vs. seismic action comparisons, seismic fragility functions, and probabilistic structural collapse risk assessments. 2. File Description 2.1 Wind...
May 29, 2026
Rodrigues, Bruno Noronha; Canteras, Felippe Benavente, 2026, "Implementação de infraestruturas verdes como medida de adaptação aos efeitos causados pelas mudanças climáticas em cidades costeiras brasileiras", https://doi.org/10.25824/redu/2AZJZL, Repositório de Dados de Pesquisa da Unicamp, V1
As cidades costeiras brasileiras estão na linha de frente das mudanças climáticas, enfrentando uma combinação perigosa de elevação do nível do mar, eventos climáticos extremos e vulnerabilidade socioeconômica. Diante desse cenário alarmante, esta pesquisa propõe um avanço metodol...
ZIP Archive - 4.9 KB - MD5: 26241d68b160cf2b75c630194cd19791
Scripts utilizados para análise de sensibilidade dos dados recebidos dos especialistas
ZIP Archive - 401.5 KB - MD5: e00be3a40c79cc55f4c81b08469bc1ef
Dados de entrada utilizados no método BBWM
ZIP Archive - 59.4 MB - MD5: 72345753404886d606477a4a80e535df
Dados de entrada utilizados no modelo de otimização
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