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Osman Ünsal Bayrak

Dados Biográficos

ID6933332
NOMEOsman Ünsal Bayrak
PRENOMESOsman Ünsal
SOBRENOMEBayrak
ASSINATURABAYRAK O Ü
AFILIAÇÕESAtatürk University
ORCID0000-0003-4039-1248
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis

    Open Access•Muhammed Ali Çolak, Osman Ünsal Bayrak•ARTICLE•Urban Science•2025

    Urban transportation systems are increasingly strained by population growth, changing mobility patterns, and the need for sustainable infrastructure planning. The accurate modeling of urban trip generation is critical for effective and sustainable transportation planning, especially in the context of rapidly growing urban populations and evolving travel behaviors. This study investigated the application of advanced statistical methods and artific…

Sem obras proeminentes nesta página.

  • Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis

    Open Access•Muhammed Ali Çolak, Osman Ünsal Bayrak•ARTICLE•Urban Science•2025

    Urban transportation systems are increasingly strained by population growth, changing mobility patterns, and the need for sustainable infrastructure planning. The accurate modeling of urban trip generation is critical for effective and sustainable transportation planning, especially in the context of rapidly growing urban populations and evolving travel behaviors. This study investigated the application of advanced statistical methods and artific…

Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Computer Science (1 obra) · Econometrics (1 obra) · Human Mobility and Location-Based Analysis (1 obra) · Machine learning (1 obra) · Mathematics (1 obra) · Regression (1 obra) · Regression analysis (1 obra) · Statistics (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae