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

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

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Authors

Mohammad Pashaei

Abbas SheikhMohammadZadeh

Dataset

Dataset

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

(MDPI AG, 2020) Fatemeh Noori; Hamid Kamangir; Scott A. King; Alaa Sheta; Mohammad Pashaei; Abbas SheikhMohammadZadeh

URI

https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/31418

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