 | Up a level |
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.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Benzerrouk, H., Nebylov, A., & Li, M. (2018). Multi-UAV Doppler information fusion for target tracking based on distributed high degrees information filters. Aerospace, 5(1), 1-21. Available
Chen, C., Panerati, J., Li, M., & Beltrame, G. (2019). Probabilistic timing analysis of time-randomised caches with fault detection mechanisms. IET Computers and Digital Techniques, 13(3), 129-139. External link
Cao, Y., Li, M., Svogor, I., Wei, S., & Beltrame, G. (2018). Dynamic range-only localization for multi-robot systems. IEEE Access, 6, 46527-46537. Available
Gemieux, M., Li, M., Savaria, Y., David, J. P., & Zhu, G. (2018). A Hybrid Architecture with Low Latency Interfaces Enabling Dynamic Cache Management. IEEE Access, 6, 62826-62839. External link
Laparra, G., Li, M., Zhu, G., & Savaria, Y. (2020). Desynchronized Model Predictive Control for Large Populations of Fans in Server Racks of Datacenters. IEEE Transactions on Smart Grid, 11(1), 411-419. External link
Li, M., Chen, C., Zhu, G., & Savaria, Y. (2018, August). Local Queueing-Based Data-Driven Task Scheduling for Multicore Systems [Paper]. 61st IEEE International Midwest Symposium on Circuits and Systems (MWSCAS 2018), Windsor, ON, Canada. External link
Li, M., Zhu, G., Savaria, Y., & Lauer, M. (2017). Reliability Enhancement of Redundancy Management in AFDX Networks. IEEE Transactions on Industrial Informatics, 13(5), 2118-2129. Available
Li, M. (2016). Determinism Enhancement and Reliability Assessment in Safety Critical AFDX Networks [Ph.D. thesis, École Polytechnique de Montréal]. Available
Li, M., Lauer, M., Zhu, G., & Savaria, Y. (2014). Determinism enhancement of AFDX networks via frame insertion and sub-virtual link aggregation. IEEE Transactions on Industrial Informatics, 10(3), 1684-1695. External link
Wu, Y., Ding, Y., Ding, S., Savaria, Y., & Li, M. (2021). Autonomous Last-Mile Delivery Based on the Cooperation of Multiple Heterogeneous Unmanned Ground Vehicles. Mathematical Problems in Engineering, 2021, 1-15. External link
Wu, Y., Li, M., Li, G., & Savaria, Y. (2021). Persistence region monitor with a pheromone-inspired robot swarm sensor network. IEEE Internet of Things Journal, 9(14), 12093-12110. External link
Wang, W., Ren, X., Zhang, Y., & Li, M. (2018). Deep learning based lithology classification using dual-frequency Pol-SAR data. Applied Sciences, 8(9), 19 pages. Available
Yang, K., Li, M., Zhu, G., & Savaria, Y. (2017). A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms. IEEE Access, 5, 22504-22513. Available
Zheng, J., Zhu, G., & Li, M. (2023). A PDE-Based Aggregate Power Tracking Control of Heterogeneous TCL Populations. In Handbook of Smart Energy Systems (pp. 47-76). External link
Zheng, J., Zhu, G., & Li, M. (2022). A PDE-Based Aggregate Power Tracking Control of Heterogeneous TCL Populations. In Michel, F., Zio, E., & Pardalos, P. M. (eds.), Handbook of Smart Energy Systems (pp. 1-30). External link
Zheng, J., Laparra, G., Zhu, G., & Li, M. (2020). Aggregate power control of heterogeneous TCL populations governed by Fokker–Planck equations. IEEE Transactions on Control Systems Technology, 28(5), 1915-1927. Available
