AutoDetect: A Novel Real-Time Intelligent Sensor Failure Detection for Connected Vehicles-Reference-Cited by-同舟云学术

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AutoDetect: A Novel Real-Time Intelligent Sensor Failure Detection for Connected Vehicles

Published:2023-05-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
language:
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Author:

Robinson Matthew¹,Asef Pedram²,Shojafar Mohammad³,Pooranian Zahra³,Lees Harry⁴,Longden Mark⁴

Affiliation:

1. University of Hertfordshire,Dept. of Engineering and Technology,Hatfield,UK

2. IAAPS University of Bath,Dept. of Electronic and Electrical Engineering,Bath,UK

3. University of Surrey,5GIC & 6GIC, Institute for Communication Systems (ICS),Guildford,UK

4. R&D Group RL Auto Ltd,Basingstoke,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149892/10149896/10150095.pdf?arnumber=10150095

Reference14 articles.

1. Improved Adam Optimizer for Deep Neural Networks;zhang;IEEE/ACM 26th Internation Symposium on Quality of Service (IWQoS),2019

2. UAV-Enabled Spatial Data Sampling in Large-Scale IoT Systems Using Denoising Autoencoder Neural Network

3. Least squares quantization in PCM

4. Open Elevation: a free and open-source elevation API (2022),2022

5. Real-time routing with OpenStreetMap data

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