Hyperparameter Tuned Deep Autoencoder Model for Road Classification Model in Intelligent Transportation Systems

Hyperparameter Tuned Deep Autoencoder Model for Road Classification Model in Intelligent Transportation Systems

Unmanned aerial vehicles (UAVs) have significant abilities for automatic detection and mapping of urban surface materials due to their high resolution. It requires a massive quantity of data to understand the ground material properties. In recent days, computer vision based approaches for intelligen...

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Bibliographic Details
Main Authors: Manar Ahmed Hamza, Hamed Alqahtani, Dalia H. Elkamchouchi, Hussain Alshahrani, Jaber S. Alzahrani, Mohammed Maray, Mohamed Ahmed Elfaki, Amira Sayed A. Aziz
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
unmanned aerial vehicles
ITS
smart cities
road classification
computer vision
Online Access:https://www.mdpi.com/2076-3417/12/20/10605

Internet

https://www.mdpi.com/2076-3417/12/20/10605

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