EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 354 (2026) EPJ Web Conf., 354 (2026) 02003 References
Open Access
Issue
EPJ Web Conf.
Volume 354, 2026
19th Global Congress on Manufacturing and Management (GCMM 2025)
Article Number 02003
Number of page(s) 12
Section Artificial Intelligence, Machine Learning, and Intelligent Decision Systems
DOI https://doi.org/10.1051/epjconf/202635402003
Published online 02 March 2026
  1. S. Panda, M.S. Geetha, A. Rajasekar, P. Chandrakanth, Air-pollution prediction in smart city using convolutional long short-term memory model. Int. J. Glob. Warm. 36, 375–405 (2024). [Google Scholar]
  2. A. Afia, F. Gougam, C. Rahmoune, W. Touzout, H. Ouelmokhtar, D. Benazzouz, Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms. Trans. Inst. Meas. Control 46, 359–378 (2024). [Google Scholar]
  3. K. B. Prakash, A. Amarkarthik, M. Ravikumar, P. Manoj Kumar, S. Jegadheeswaran, Optimizing performance characteristics of blower for combustion process using Taguchi based grey relational analysis. In: International Conference on Advances in Materials Research, pp. 155–163 (2019). [Google Scholar]
  4. A. Nambiar, S. Aravinth, V. Sugumaran, S. M. Ramteke, M. Marian, Prediction of air compressor faults with feature fusion and machine learning. Knowl.-Based Syst. 304, 112519 (2024). [Google Scholar]
  5. G. S. Sudharsalearningn, R. Venkatasubramanian, N. Hemalatha, R. G. Deshmukh, M. Alanazi, A. Almadhor, S. Lokesh, M. Sudhakar, Power yield improvement of wind turbine using predictive-based active flow controller. Energy Reports, 8, 989–998 (2022). [Google Scholar]
  6. M. Abouelyazid, Advanced artificial intelligence techniques for real-time predictive maintenance in industrial IoT systems: A comprehensive analysis and framework. J. AI-Assisted Sci. Discov. 3, 271–313 (2023). [Google Scholar]
  7. S. Bogdan, C. Paliuc, M. Crisan-Vida, S. Nimara, D. Barmayoun, Low-cost internet-of-things water-quality monitoring system for rural areas. Sensors 23, 3919 (2023). [Google Scholar]
  8. X. Zou, W. Liu, Z. Huo, S. Wang, Z. Chen, C. Xin, Y. Bai, Z. Liang, Y. Gong, Y. Qian, Current status and prospects of research on sensor fault diagnosis of agricultural internet of things. Sensors 23, 2528 (2023). [Google Scholar]
  9. S. S. Karganroudi, A. Aminzadeh, H. Ibrahim, D. Rahmatabadi, V. Francois, J.-C. Cuillire, A novel automated approach for geometric reconstruction and flexible remanufacturing of spur gears using point cloud mapping analysis. Comput.-Aided Des. Appl. 20, 92–108 (2023). [Google Scholar]
  10. H. Engbers, S. Leohold, M. Freitag, Individual predictive maintenance approach for diesel engines in rail vehicles. Lect. Notes Logist., Springer, 236–244 (2020). [Google Scholar]
  11. A. Patil, G. Soni, A. Prakash, Data-driven approaches for impending fault detection of industrial systems: A review. Int. J. Syst. Assur. Eng. Manag. 15, 1326–1344 (2024). [Google Scholar]
  12. P. Rizk, F. Rizk, S. S. Karganroudi, A. Ilinca, R. Younes, J. Khoder, Advanced wind turbine blade inspection with hyperspectral imaging and 3D convolutional neural networks for damage detection. Energy AI 16, 100366 (2024). [Google Scholar]
  13. D. Kalla, N. Smith, Integrating IoT, AI, and big data for enhanced operational efficiency in smart factories. Educ. Adm.: Theory Pract. 30, 14235–14245 (2024). [Google Scholar]
  14. J. Mallia, E. Francalanza, P. Xuereb, M. Borg, P. Refalo, Implementation of an intelligence-based framework for anomaly detection on the demand-side of sustainable compressed air systems. Procedia Comput. Sci. 232, 1554–1563 (2024). [Google Scholar]
  15. S. Rydzi, B. Zahradnikova, Z. Sutova, M. Ravas, D. Hornacek, P. Tanuska, A predictive quality inspection framework for the manufacturing process in the context of Industry 4.0. Sensors 24, 5644 (2024). [Google Scholar]
  16. R. Chitharaj, H. Perumal, M. Almeshaal, P. Manoj Kumar, Optimizing performance of a solar flat plate collector using Box-Behnken design. Sustainability 17, 461 (2025). [Google Scholar]
  17. P. Chandrakanth, M.S. Anbarasi, Privacy Preserving in Data Stream Mining Using Statistical Learning Methods for Building Ensemble Classifier. In: Smart Intelligent Computing and Applications, pp. 631–638. Springer Singapore, Singapore (2018). [Google Scholar]
  18. S. D. Anitha Selvasofia, S. Deepa Shri, P. Manoj Kumar, P. K. B, Characterization of bio-nano doped phase change material for building energy management. Energy Sources Part A 46, 3760–3778 (2024). [Google Scholar]
  19. U. V. Anbazhagu, R. Sonia, R. K. Grover, E. Afreen Banu, C. Jothikumar, M. Sudhakar, AI and machine learning in earthquake prediction: Enhancing precision and early warning systems. In: Modern SuperHyperSoft Computing Trends in Science and Technology; IGI Global, pp. 1–32 (2023). [Google Scholar]
  20. M. K. A. Raj, R. Rathanasamy, P. M. Kumar, G. V. Kaliyannan, M. M. Alam, A. Keçebas, Synergistic integration of transition metal oxides and conducting polymers for high-performance supercapacitors: Advances, challenges, and future prospects. Surf. Interfaces 108117 (2025). [Google Scholar]
  21. K. Priyadharshini, R. Purushothaman, V. Jaiganesh, M. Sudhakar, Machine learning-based diagnostics and real-time monitoring in healthcare. In: Combining Visual Intelligence and Federated Learning in Smart Healthcare; IGI Global, pp. 111–140 (2023). [Google Scholar]
  22. N. Senthil Kannan, R. Parameshwaran, P. T. Saravanakumar, P. M. Kumar, M. L. Rinawa, Performance and quality improvement in a foundry industry using fuzzy MCDM and lean methods. Arab. J. Sci. Eng. 47, 15379–15390 (2022). [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.