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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.
Arab, H., Arabsalmanabadi, B., & Dufour, S. (2022). A novel time‐domain numerical methodology for the electromagnetic analysis of an H‐plane tee power divider. The Journal of Engineering, 2022(10), 1032-1036. External link
Arabsalmanabadi, B., Arab, H., Amador, V. H. G., Dufour, S., & Al-Haddad, K. (2021). A three-dimensional discontinuous galerkin time-domain finite element method for electromagnetic modeling of wireless power transfer coils. IEEE Open Journal of the Industrial Electronics Society, 2, 360-371. Available
Arabsalmanabadi, B., Porras, P., Arab, H., Dufour, S., & Al-Haddad, K. (2020, February). Analytical Design Study of Spiral Circular Coils for Efficient Magnetic Resonant Coupling Power Transmission in EV Chargers [Paper]. IEEE International Conference on Industrial Technology (ICIT 2020), Buenos Aires, Argentina. External link
Arabsalmanabadi, B., Arab, H., Dufour, S., & Al-Haddad, K. (2019, October). Analytical and Numerical Design Study of Torus Coils with Misalignment for Efficient Inductive Energy Transmission in EV Chargers [Paper]. 45th Annual Conference of the IEEE Industrial Electronics Society (IECON 2019), Lisbon, Portugal. External link
Tashakor, N., Arabsalmanabadi, B., Afrasiabi, S., Mohamed, M., & Goetz, S. (2022, October). An Accurate Practical Technique for Real-Time State-of-Charge Estimation of Li-Ion Batteries Using Neural Networks [Paper]. 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), Brussels, Belgium (6 pages). External link
