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

Description

Toolbox-ID

jz000157-0452

Identifier(s)

https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/31416

Publisher

MDPI AG

License

https://creativecommons.org/licenses/by/4.0/

Subject(s)

DDC(s)

550

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A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder
Fatemeh Noori; Hamid Kamangir; Scott A. King; Alaa Sheta; Mohammad Pashaei; Abbas SheikhMohammadZadeh
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Distribution
A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder
Fatemeh Noori; Hamid Kamangir; Scott A. King; Alaa Sheta; Mohammad Pashaei; Abbas SheikhMohammadZadeh