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Research article

First published 2025

Fault diagnosis model for rotating machinery bearings combining 1D-GRU and 2D-ResNet-CBAM

Xinyu Sha, Fucai Qian, Bo Dong

Transactions of the Institute of Measurement and Control

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Research article

First published 2025-8

A novel deep learning model for fault diagnosis of rolling-element bearing based on convolution neural network and recurrent neural network

Xudong Song, Xinran Lyu, Shaocong Sun [...]

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

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Research article

First published 2025-9

Predicting vehicle-body vibration accelerations with track irregularities based on deep learning approaches

Xiaoli Hao, Ruoyu Teng, Fei Yang

Proceedings of the Institution of Mechanical Engineers,Part F: Journal of Rail and Rapid Transit

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Research article

First published 2023-7

Study on observation method of injection pressure curve in high pressure common rail system

Fukang Ma, Liangyu Li, Yu Pu

International Journal of Engine Research

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Research article

First published 2024-12

Transient NOx emission modeling of a hydrogen-diesel engine using hybrid machine learning methods

Saeid Shahpouri, David Gordon, Mahdi Shahbakhti [...]

International Journal of Engine Research

Open access

Review article

First published 2023-09

Sentiment analysis model for Airline customers’ feedback using deep learning techniques

Heba Allah Samir, Laila Abd-Elmegid, Mohamed Marie

International Journal of Engineering Business Management

Open access

Research article

First published 2025

LiteFallNet: A lightweight deep learning model for efficient real-time fall detection

Emmanuel Owusu, Isaac Acquah, Michael Asiedu Asare [...]

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Search results

Fault diagnosis model for rotating machinery bearings combining 1D-GRU and 2D-ResNet-CBAM

A novel deep learning model for fault diagnosis of rolling-element bearing based on convolution neural network and recurrent neural network

Predicting vehicle-body vibration accelerations with track irregularities based on deep learning approaches

Study on observation method of injection pressure curve in high pressure common rail system

Transient NOx emission modeling of a hydrogen-diesel engine using hybrid machine learning methods

Sentiment analysis model for Airline customers’ feedback using deep learning techniques

LiteFallNet: A lightweight deep learning model for efficient real-time fall detection