S. Dayekh, S. Affes, N. Kandil and Chahe Nerguizian
Paper (2014)
An external link is available for this itemDepartment: | Department of Electrical Engineering |
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Research Center: | POLY-GRAMES - Advanced Research Centre in Microwaves and Space Electronics |
PolyPublie URL: | https://publications.polymtl.ca/12505/ |
Conference Title: | IEEE International Conference on Communications (ICC 2014) |
Conference Location: | Sydney, Australia |
Conference Date(s): | 2014-06-10 - 2014-06-14 |
Publisher: | IEEE |
DOI: | 10.1109/iccw.2014.6881286 |
Official URL: | https://doi.org/10.1109/iccw.2014.6881286 |
Date Deposited: | 18 Apr 2023 15:08 |
Last Modified: | 25 Sep 2024 15:49 |
Cite in APA 7: | Dayekh, S., Affes, S., Kandil, N., & Nerguizian, C. (2014, June). Cost-effective localization in underground mines using new SIMO/MIMO-like fingerprints and artificial neural networks [Paper]. IEEE International Conference on Communications (ICC 2014), Sydney, Australia. https://doi.org/10.1109/iccw.2014.6881286 |
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