Open Access
| Issue |
E3S Web Conf.
Volume 723, 2026
2026 International Conference on Artificial Intelligence in Energy and Infrastructure (AIEI 2026)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 10 | |
| Section | Artificial Intelligence, Machine Learning & Data Analytics | |
| DOI | https://doi.org/10.1051/e3sconf/202672301007 | |
| Published online | 08 July 2026 | |
- D. Zhu, G. Liu, X. Wu, and B. Yin, “An enhanced empirical Fourier decomposition method for bearing fault diagnosis,” Structural Health Monitoring, vol. 23, pp. 903–923, 06/16 2023. [Google Scholar]
- H. Ao, “Ứng dụng của phương pháp EEMD-SVD và BSOA-SVM để chẩn đoán hư hỏng ổ lăn,” Tạp chí Khoa học và Công nghệ, vol. 40, pp. 92–101, 2019. [Google Scholar]
- B. Hjorth, “EEG analysis based on time domain properties,” (in eng), Electroencephalogr Clin Neurophysiol, vol. 29, no. 3, pp. 306–10, Sep 1970. [Google Scholar]
- M. Qaraad, S. Amjad, N. K. Hussein, M. A. Farag, S. Mirjalili, and M. A. Elhosseini, “Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation,” Expert Systems with Applications, vol. 236, p. 121417, 2024/02/01/ 2024. [Google Scholar]
- W. Zhou, Z. Feng, Y. F. Xu, X. Wang, and H. Lv, “Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis,” Mechanical Systems and Signal Processing, vol. 163, p. 108155, 2022/01/15/ 2022. [Google Scholar]
- A. Patil, G. Soni, and A. Prakash, “Chapter Five - Extremum center interpolation-based EMD approach for fault detection of reciprocating compressor,” in Smart Electrical and Mechanical Systems, R. Sehgal, N. Gupta, A. Tomar, M. D. Sharma, and V. Kumaran, Eds.: Academic Press, 2022, pp. 109–122. [Google Scholar]
- X. Zhang, X. Chen, and Z. He, “An ACO-based algorithm for parameter optimization of support vector machines,” Expert Systems with Applications, vol. 37, no. 9, pp. 6618–6628, 2010. [Google Scholar]
- V. N. Vapnik, The Nature of Statistical Learning Theory; Springer: New York. 1995. [Google Scholar]
- F. Ardjani, K. Sadouni, and B. Mohammed, Optimization of SVM multiclass by particle swarm (PSO-SVM). 2010, pp. 1–4. [Google Scholar]
- K. Chandramouli and E. Izquierdo, Image Classification using Chaotic Particle Swarm Optimization. 2006, pp. 3001–3004. [Google Scholar]
- G. Dhiman and V. Kumar, “Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications,” Advances in Engineering Software, vol. 114, pp. 48–70, 2017/12/01/ 2017. [Google Scholar]
- Y. Yang, H. Chen, A. A. Heidari, and A. H. Gandomi, “Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts,” Expert Systems with Applications, vol. 177, p. 114864, 2021/09/01/ 2021. [Google Scholar]
- L. K. A. (2003, 1 Nov.). Bearings vibration dataset, Case Western Reserve University. Available: https://engineering.case.edu/bearingdatacenter/download-data-file (Accessed on January 10, 2026) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.