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A Hybrid-Feature-Based Autoencoder Model for Predicting Traffic Flow to Accelerate Ambulance Medical Response Time in Internet of Vehicles

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Year: 2024
Type: article
Source: IEEE Internet of Things Journal
DOI: 10.1109/jiot.2024.3516696
Authors: Yongmeng Li, Yu Tian, Wenjian Liu, Longxiang Gao, Hui Tian, Lumin Xing
Institutions: Shandong Provincial QianFoShan Hospital, Shandong First Medical University, Shandong University, Qilu Hospital of Shandong University, City University of Macau, Qilu University of Technology, Shandong Academy of Sciences
Language: English

Topic: Traffic Prediction and Management Techniques
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: Shandong First Medical University
OpenAlex ID: W4405269802
FWCI:
Cites: 31
Cited by:
Related to: 10
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