OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Air Pressure System Failure Prediction and Classification in Scania Trucks using Machine Learning
K. Tamil Selvi, N Praveena, K Pratheksha, et al.
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (2022), pp. 220-227
Closed Access | Times Cited: 8
K. Tamil Selvi, N Praveena, K Pratheksha, et al.
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (2022), pp. 220-227
Closed Access | Times Cited: 8
Showing 8 citing articles:
Fault detection and diagnosis of air brake system: A systematic review
Zhe-Fan Hou, C.K.M. Lee, Yaqiong Lv, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 34-58
Closed Access | Times Cited: 19
Zhe-Fan Hou, C.K.M. Lee, Yaqiong Lv, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 34-58
Closed Access | Times Cited: 19
Maintenance 4.0 in Mining Trucks: Data Digitalization and Advanced Protocols
Nour Elkhenin, Hatem Mrad
Procedia Computer Science (2025) Vol. 253, pp. 2147-2155
Open Access
Nour Elkhenin, Hatem Mrad
Procedia Computer Science (2025) Vol. 253, pp. 2147-2155
Open Access
SCANIA Component X dataset: a real-world multivariate time series dataset for predictive maintenance
Zahra Kharazian, Tony Lindgren, Sindri Magnússon, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Zahra Kharazian, Tony Lindgren, Sindri Magnússon, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Predicting and Categorizing Air Pressure System Failures in Scania Trucks using Machine Learning
Syed Ali Hussain, P N S B S V Prasad, Rohith Gowtham Kodali, et al.
Journal of Electronic Materials (2024) Vol. 53, Iss. 7, pp. 3603-3613
Closed Access | Times Cited: 1
Syed Ali Hussain, P N S B S V Prasad, Rohith Gowtham Kodali, et al.
Journal of Electronic Materials (2024) Vol. 53, Iss. 7, pp. 3603-3613
Closed Access | Times Cited: 1
Minimizing the Repair Cost of the Air Pressure System of Scania Trucks Using a Deep Learning Algorithm
Kazem Taghandiki, Morteza DallakehNejad
(2023)
Open Access | Times Cited: 1
Kazem Taghandiki, Morteza DallakehNejad
(2023)
Open Access | Times Cited: 1
Minimizing the Repair Cost of the Air Pressure System of Scania Trucks Using a Deep Learning Algorithm
Kazem Taghandiki, Morteza DallakehNejad, Hossein Rahimi Asiabaraki
(2023)
Open Access | Times Cited: 1
Kazem Taghandiki, Morteza DallakehNejad, Hossein Rahimi Asiabaraki
(2023)
Open Access | Times Cited: 1
Prediction of Failure in Scania Truck Due to Air Pressure System Failure
Prasoon Kumar Singh, Lalatendu Behera
Lecture notes in computer science (2024), pp. 151-166
Closed Access
Prasoon Kumar Singh, Lalatendu Behera
Lecture notes in computer science (2024), pp. 151-166
Closed Access
Minimizing the Repair Cost of the Air Pressure System of Scania Trucks Using a Deep Learning Algorithm
Kazem Taghandiki, Morteza DallakehNejad, Hossein Rahimi Asiabaraki
(2023)
Open Access
Kazem Taghandiki, Morteza DallakehNejad, Hossein Rahimi Asiabaraki
(2023)
Open Access
