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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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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.
Lakis, A. A., Mahvash, A., & Toorani, M. (2018, July). Diagnosis of bearing faults in complex machinery using spatial distribution of sensors and Fourier transforms [Paper]. 6th International Conference on Integrity-Reliability-Failure (IRF 2018), Lisbon, Portugal. External link
Lakis, A. A., Mahvash, A., & Toorani, M. (2013, June). Development of intelligent health monitoring systems for rotating machinery and structural components [Paper]. 4th International Conference on Integrity, Reliability & Failure, Funchal, Portugal. Unavailable
Mahvash, A., & Lakis, A. A. (2015). Application of cyclic spectral analysis in diagnosis of bearing faults in complex machinery. Tribology Transactions, 58(6), 1151-1158. External link
Mahvash, A., & Lakis, A. A. (2010, June). Application of multi-sensor data acquisition and fourier transform in separation of vibration sources [Paper]. 23rd International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2010), Nara, Japan. Unavailable
Mahvash, A., Oulmane, A., & Lakis, A. A. (2009, June). Development of an intelligent health monitoring system for rotating machinery and structural components [Paper]. CANEUS Fly-by-Wireless Workshop (FBW 2009), Montréal, Québec. Unavailable
Mahvash, A., & Ross, A. (2008). Application of Chmms to Two-Phase Flow Pattern Identification. Engineering Applications of Artificial Intelligence, 21(8), 1144-1152. External link
Mahvash, A., & Ross, A. (2008). Two-Phase Flow Pattern Identification Using Continuous Hidden Markov Model. International Journal of Multiphase Flow, 34(3), 303-311. External link
