Anomaly Detection in Pedestrian Walkways for Intelligent Transportation System Using Federated Learning and Harris Hawks Optimizer on Remote Sensing Images

Anomaly Detection in Pedestrian Walkways for Intelligent Transportation System Using Federated Learning and Harris Hawks Optimizer on Remote Sensing Images

Anomaly detection in pedestrian walkways is a vital research area that uses remote sensing, which helps to optimize pedestrian traffic and enhance flow to improve pedestrian safety in intelligent transportation systems (ITS). Engineers and researchers can formulate more potential techniques and tool...

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Bibliographic Details
Main Authors: Manal Abdullah Alohali, Mohammed Aljebreen, Nadhem Nemri, Randa Allafi, Mesfer Al Duhayyim, Mohamed Ibrahim Alsaid, Amani A. Alneil, Azza Elneil Osman
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
anomaly detection
intelligent transportation systems
deep learning
remote sensing images
federated learning
Online Access:https://www.mdpi.com/2072-4292/15/12/3092

Internet

https://www.mdpi.com/2072-4292/15/12/3092

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