Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit-Reference-Cited by-同舟云学术

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Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit

Published:2024-12 Issue: Volume:257 Page:125080
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rahim Md. Abdur^ORCID,Rahman Md. Mustafizur^ORCID,Islam Md. Shofiqul^ORCID,Muzahid Abu Jafar Md.^ORCID,Rahman Md. Arafatur^ORCID,Ramasamy Devarajan^ORCID

Funder

Universiti Malaysia Pahang

Publisher

Elsevier BV

Reference88 articles.

1. Diesel engine lubricant contamination and wear;Addison,1986

2. Spare parts management potential in production sector;Al-Bawi,2015

3. Deep learning towards intelligent vehicle fault diagnosis;Al-Zeyadi,2020

4. Cost evaluation in design for end-of-life of automotive components;Anthony;Journal of Remanufacturing,2017

5. Air pollution the automobile and public health;AY,1988

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