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Abbas Sheikh-Mohammad-Zadeh

Dados Biográficos

ID9866455
NOMEAbbas Sheikh-Mohammad-Zadeh
PRENOMESAbbas
SOBRENOMESheikh-Mohammad-Zadeh
ASSINATURASHEIKH-MOHAMMAD-ZADEH A
AFILIAÇÕESUniversity of Tehran
ORCID0000-0003-4799-7680
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES4
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2013
ANO MAIS RECENTE DE PUBLICAÇÃO2020
ÍNDICE H1
  • A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder

    Open Access•Fatemeh Noori, Hamid Kamangir et al.•ARTICLE•ISPRS International Journal of…•2020

    In urban planning and transportation management, the centrality characteristics of urban streets are vital measures to consider. Centrality can help in understanding the structural properties of dense traffic networks that affect both human life and activity in cities. Many cities classify urban streets to provide stakeholders with a group of street guidelines for possible new rehabilitation such as sidewalks, curbs, and setbacks. Transportation …

  • Analyzing the effect of the street network configuration on the efficiency of an urban transportation system

    Open Access•Abbas Sheikh Mohammad Zadeh, Abbas Sheikh-Mohammad-Zadeh et al.•ARTICLE•Cities•2013•Citada por: 4•Referências: 23

  • Analyzing the effect of the street network configuration on the efficiency of an urban transportation system

    Open Access•Abbas Sheikh Mohammad Zadeh, Abbas Sheikh-Mohammad-Zadeh et al.•ARTICLE•Cities•2013•Citada por: 4•Referências: 23

  • Analyzing the effect of the street network configuration on the efficiency of an urban transportation system

    Open Access•Abbas Sheikh Mohammad Zadeh, Abbas Sheikh-Mohammad-Zadeh et al.•ARTICLE•Cities•2013•Citada por: 4•Referências: 23

  • A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder

    Open Access•Fatemeh Noori, Hamid Kamangir et al.•ARTICLE•ISPRS International Journal of…•2020

    In urban planning and transportation management, the centrality characteristics of urban streets are vital measures to consider. Centrality can help in understanding the structural properties of dense traffic networks that affect both human life and activity in cities. Many cities classify urban streets to provide stakeholders with a group of street guidelines for possible new rehabilitation such as sidewalks, curbs, and setbacks. Transportation …

Centrality (2 obras) · Computer Science (2 obras) · Engineering (2 obras) · Geography (2 obras) · Human Mobility and Location-Based Analysis (2 obras) · Mathematics (2 obras) · Street network (2 obras) · Transport engineering (2 obras) · Urban Design and Spatial Analysis (2 obras) · Artificial Intelligence (1 obras)

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