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

QR Code

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

Vehicles play a pivotal role in the current era of Industry 4.0 by providing passengers with excellent mobility, comfort, and safety while strengthening national and international economies. Unanticipated vehicular engine issues can hinder performance and lead to costly maintenance. As analytics pro...

Full description

Bibliographic Details
Main Authors:	Rahim, Md. Abdur, Rahman, Md Mustafizur, Islam, Md. Shofiqul, Md. Muzahid, Abu Jafar, Rahman, Md. Arafatur, D., Ramasamy
Format:	Article
Language:	English English
Published:	Elsevier 2024
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/42480/ http://umpir.ump.edu.my/id/eprint/42480/1/Deep%20learning-based%20vehicular%20engine%20health%20monitoring%20system_ABST.pdf http://umpir.ump.edu.my/id/eprint/42480/2/Deep%20learning-based%20vehicular%20engine%20health%20monitoring%20system.pdf

Similar Items

A framework of IoT-enabled vehicular noise intensity monitoring system for smart city
by: Rahim, Md. Abdur, et al.
Published: (2021)

An ensemble deep learning model for vehicular engine health prediction
by: Joseph Chukwudi, Isinka, et al.
Published: (2024)

HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text
by: Islam, Md Shofiqul, et al.
Published: (2021)

An intelligent risk management framework for monitoring vehicular engine health
by: Rahim, Md. Abdur, et al.
Published: (2022)

Advances in intelligent vehicular health monitoring and fault diagnosis: Techniques, technologies, and future directions
by: Hossain, Md Naeem, et al.
Published: (2025)

An enhanced gated recurrent unit with auto-encoder for solving text classification problems
by: Zulqarnain, Muhammad
Published: (2020)

Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
by: Abu Jafar, Md Muzahid, et al.
Published: (2022)

Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
by: Abu Jafar, Md Muzahid, et al.
Published: (2022)

Automated palm oil supply chain system with traceability
by: Rahman, Md. Arafatur, et al.
Published: (2021)

A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture
by: Akbar, Jalal Uddin Md, et al.
Published: (2024)

Predicting Bitcoin and Ethereum prices using long short-term memory and gated recurrent unit
by: Mohd Haziq, Abdul Hadi, et al.
Published: (2023)

A Performance Investigation on IoT Enabled Intra-Vehicular Wireless Sensor Networks
by: Rahman, Md. Arafatur, et al.
Published: (2017)

On mitigating hop-to-hop congestion problem in IoT enabled Intra-Vehicular communication
by: Rahman, Md. Arafatur, et al.
Published: (2015)

Deep learning enabled fall detection exploiting gait analysis
by: Anwary, Arif Reza, et al.
Published: (2022)

Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021)

Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles
by: Abu Jafar, Md Muzahid, et al.
Published: (2021)

Sentiment Analysis For E-Commerce Clothing Reviews Using Bidirectional Recurrent Neural Network
by: Muhammad Farhan Firdaus, Hairol Zaman
Published: (2023)

Optimal safety planning and driving decision-making for multiple autonomous vehicles: A learning based approach.
by: Abu Jafar, Md Muzahid, et al.
Published: (2021)

IoT Enabled Intra-Vehicular Communication for Designing A Smart Car
by: Mohammad Hameez, Mat Zin, et al.
Published: (2016)

A scalable hybrid MAC strategy for traffic-differentiated IoT-enabled intra-vehicular networks
by: Rahman, Md. Arafatur, et al.
Published: (2020)

License Plate Recognition Using Convolutional recurrent Neural Network
by: Tee, Kai Feng
Published: (2019)

A bidirectional ups inverter utilising high frequency center-tapped transformer
by: Salam, Zainal, et al.
Published: (2004)

Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classiﬁcation
by: Islam, Md Shofiqul, et al.
Published: (2022)

Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification
by: Md Shofiqul, Islam, et al.
Published: (2022)

Face recognition using the convolutional neural network for barrier gate system
by: Mochammad Langgeng, Prasetyo, et al.
Published: (2021)

Learning-based conceptual framework for threat assessment of multiple vehicle collision in autonomous driving
by: Muzahid, Abu Jafar Md, et al.
Published: (2020)

Hop Restricted-AODV (HR-AODV) Routing and Its Applicability on Different Wireless Channels for Vehicular Network
by: Ahmad, Tanvir, et al.
Published: (2023)

New hybrid deep learning method to recognize human action from video
by: Md Shofiqul, Islam, et al.
Published: (2021)

Reinforcement learning based decision-making model in autonomous vehicle control for cooperation and mitigation of collision among multiple vehicles
by: Abu Jafar, Md Muzahid
Published: (2022)

Intra-vehicular communication protocol for iot enabled vehicle health monitoring system: challenges, issues, and solutions
by: Karim, Mahima, et al.
Published: (2024)

Deep recurrent neural networks for supernovae classification
by: Charnock, Tom, et al.
Published: (2017)

Vehicle type classification using an enhanced sparse-filtered convolutional neural network with layer-skipping strategy
by: Suryanti, Awang, et al.
Published: (2020)

A review on recent advances in deep learning for sentiment analysis: Performances, challenges and limitations
by: Islam, Md Shofiqul, et al.
Published: (2020)

Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope
by: Hossain, Md Naeem, et al.
Published: (2025)

Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)

INSOLVENCY PREDICTION OF AUSTRALIAN CONSTRUCTION COMPANIES USING DEEP LEARNING WITH BIDIRECTIONAL LSTM AUTOENCODER
by: Bu, Lishan, et al.
Published: (2024)

A novel BiGRUBiLSTM model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
by: Islam, Md Shofiqul, et al.
Published: (2021)

An automated vehicular license plate recognnition system for skewed images / Md. Yeasir Arafat
by: Md. Yeasir , Arafat
Published: (2018)

Context-aware sentence categorisation: word mover’s distance and character-level convolutional recurrent neural network
by: Fu, Xinyu
Published: (2018)

Enhancing Road safety through accurate detection of hazardous driving behaviors with graph convolutional recurrent networks
by: Khosravinia, Pooyan, et al.
Published: (2023)