Alexis Vieloszynski, Soumaya Cherkaoui
, Ola Ahmad, Jean-Frédéric Laprade, Olivier Nahman-Lévesque, Abdallah Aaraba and Shengrui Wang
Paper (2024)
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| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/62734/ |
| Conference Title: | IEEE 10th World Forum on Internet of Things (WF-IoT 2024) |
| Conference Location: | Ottawa, ON, Canada |
| Conference Date(s): | 2024-11-10 - 2024-11-13 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| DOI: | 10.1109/wf-iot62078.2024.10811384 |
| Official URL: | https://doi.org/10.1109/wf-iot62078.2024.10811384 |
| Date Deposited: | 14 Feb 2025 14:31 |
| Last Modified: | 14 Feb 2025 14:31 |
| Cite in APA 7: | Vieloszynski, A., Cherkaoui, S., Ahmad, O., Laprade, J.-F., Nahman-Lévesque, O., Aaraba, A., & Wang, S. (2024, November). LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder [Paper]. IEEE 10th World Forum on Internet of Things (WF-IoT 2024), Ottawa, ON, Canada. https://doi.org/10.1109/wf-iot62078.2024.10811384 |
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