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:
TinyML-based approach for Remaining Useful Life Prediction of Turbofan Engines
Georgios Athanasakis, Gabriel Filios, Ioannis Katsidimas, et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) (2022), pp. 1-8
Closed Access | Times Cited: 6
Georgios Athanasakis, Gabriel Filios, Ioannis Katsidimas, et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) (2022), pp. 1-8
Closed Access | Times Cited: 6
Showing 6 citing articles:
TinyML Algorithms for Big Data Management in Large-Scale IoT Systems
Aristeidis Karras, Αναστάσιος Γιάνναρος, Christos Karras, et al.
Future Internet (2024) Vol. 16, Iss. 2, pp. 42-42
Open Access | Times Cited: 12
Aristeidis Karras, Αναστάσιος Γιάνναρος, Christos Karras, et al.
Future Internet (2024) Vol. 16, Iss. 2, pp. 42-42
Open Access | Times Cited: 12
Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review
Xianpeng Qiao, Veronica Lestari Jauw, Lim Chin Seong, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4059-4076
Closed Access | Times Cited: 3
Xianpeng Qiao, Veronica Lestari Jauw, Lim Chin Seong, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4059-4076
Closed Access | Times Cited: 3
Remaining useful life prediction framework of equipment based on improved golden jackal algorithm assisted-LSTM
Ronghua Ma, Yongliang Yuan
AIP Advances (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Ronghua Ma, Yongliang Yuan
AIP Advances (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device
Ioannis Katsidimas, Vassilis Kostopoulos, Αθανάσιος Κοτζακόλιος, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 896-896
Open Access | Times Cited: 4
Ioannis Katsidimas, Vassilis Kostopoulos, Αθανάσιος Κοτζακόλιος, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 896-896
Open Access | Times Cited: 4
Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks
Cormac Fay, Brian Corcoran, Dermot Diamond
Sensors (2023) Vol. 24, Iss. 1, pp. 162-162
Open Access | Times Cited: 2
Cormac Fay, Brian Corcoran, Dermot Diamond
Sensors (2023) Vol. 24, Iss. 1, pp. 162-162
Open Access | Times Cited: 2
Application of Tiny Machine Learning in Predicative Maintenance in Industries
Samson Otieno Ooko, Simon M. Karume
Journal of Computing Theories and Applications (2024) Vol. 2, Iss. 1, pp. 131-150
Open Access
Samson Otieno Ooko, Simon M. Karume
Journal of Computing Theories and Applications (2024) Vol. 2, Iss. 1, pp. 131-150
Open Access
