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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Agredano, F., Taha, H. A., & Yacout, S. (2023, June). Maintenance 4.0 opportunistic strategy for electric buses [Paper]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada (5 pages). External link
Taha, H. A., Mammeri, A., & Yacout, S. (2024, November). Advanced Powertrain Fault Diagnosis for Electric Buses: An IoV Approach [Paper]. IEEE 10th World Forum on Internet of Things (WF-IoT 2024), Ottawa, ON, Canada. External link
Taha, H. A., Yacout, S., & Shaban, Y. (2023). Online failure analysis and autonomous risk control scheme for electric buses. Engineering Failure Analysis, 154, 15 pages. External link
Taha, H. A., Yacout, S., & Shaban, Y. (2022). Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition. Journal of Intelligent Manufacturing, 34(5), 2185-2205. External link
Taha, H. A., Yacout, S., & Shaban, Y. (2022). Deep reinforcement learning for autonomous pre-failure tool life improvement. International Journal of Advanced Manufacturing Technology, 121(9-10), 6169-6192. External link
Taha, H. A., Yacout, S., & Birglen, L. (2020, November). Detection and Monitoring for Anomalies and Degradation of a Robotic Arm Using Machine Learning [Paper]. Stuttgart Conference on Automative Production (SCAP 2020). External link
Taha, H. A., Sakr, A. H., Yacout, S., & Serafin, P. (2021, September). Failure Reasoning and Uncertainty Analysis for Wheel Motor Electric Bus [Paper]. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Vasteras, Sweden (4 pages). External link
Taha, H. A., Sakr, A. A., & Yacout, S. (2019, October). Aircraft engine remaining useful life prediction framwork for industry 4.0 [Paper]. International Conference on Industrial Engineering and Operations Management, Toronto, Canada (11 pages). External link
