[HTML][HTML] A literature review of Artificial Intelligence applications in railway systems

R Tang, L De Donato, N Besinović, F Flammini… - … Research Part C …, 2022 - Elsevier
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

State-of-the-art technologies in fault diagnosis of electric vehicles: A component-based review

A Choudhary, S Fatima… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Electric vehicle (EV) is crucial for future transportation which will improve fuel economy and
contributes toward the reduction of emissions. EVs are becoming an increasingly integrated …

Bearing fault diagnosis method based on deep convolutional neural network and random forest ensemble learning

G Xu, M Liu, Z Jiang, D Söffker, W Shen - Sensors, 2019 - mdpi.com
Recently, research on data-driven bearing fault diagnosis methods has attracted increasing
attention due to the availability of massive condition monitoring data. However, most existing …

A hybrid deep CNN model for abnormal arrhythmia detection based on cardiac ECG signal

A Ullah, S Rehman, S Tu, RM Mehmood, Fawad… - Sensors, 2021 - mdpi.com
Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients
suffering from various cardiovascular diseases (CVDs). This research aims to develop a …

Machine learning and optimization for production rescheduling in Industry 4.0

Y Li, S Carabelli, E Fadda, D Manerba, R Tadei… - … International Journal of …, 2020 - Springer
Along with the fourth industrial revolution, different tools coming from optimization, Internet of
Things, data science, and artificial intelligence fields are creating new opportunities in …

The recent applications of machine learning in rail track maintenance: A survey

M Chenariyan Nakhaee, D Hiemstra… - Reliability, Safety, and …, 2019 - Springer
Railway systems play a vital role in the world's economy and movement of goods and
people. Rail tracks are one of the most critical components needed for the uninterrupted …

Vision-based monitoring of railway superstructure: A review

P Aela, J Cai, G Jing, HL Chi - Construction and Building Materials, 2024 - Elsevier
The computer vision-based analysis of railway superstructure has gained significant
attention in railway engineering. This approach utilises advanced image processing and …

Railway track fault detection using selective MFCC features from acoustic data

F Rustam, A Ishaq, MSA Hashmi, HUR Siddiqui… - Sensors, 2023 - mdpi.com
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …

A review of deep learning applications for railway safety

K Oh, M Yoo, N Jin, J Ko, J Seo, H Joo, M Ko - Applied Sciences, 2022 - mdpi.com
Railways speedily transport many people and goods nationwide, so railway accidents can
pose immense damage. However, the infrastructure of railways is so complex that its …

High speed railway fastener defect detection by using improved YoLoX-Nano Model

J Hu, P Qiao, H Lv, L Yang, A Ouyang, Y He, Y Liu - Sensors, 2022 - mdpi.com
Rails play a vital role in the bearing and guidance of high-speed trains, and the normal
condition of rail components is the guarantee of the operation and maintenance safety …