Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Mariya Zheleva"'
Autor:
Mariya Zheleva, Christopher R. Anderson, Mustafa Aksoy, Joel T. Johnson, Habib Affinnih, Christopher G. DePree
Publikováno v:
IEEE Communications Magazine. :1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e87aca43e30d60a5aab749c64fda98e
https://doi.org/10.1109/mcom.005.2200389
https://doi.org/10.1109/mcom.005.2200389
Deep learning has achieved remarkable results in modulation classification under two assumptions: a large amount of labeled class-balanced data is available, and test data shares the same distribution as data used for training. However, due to dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e8c26c9557587564cf00a19c48eca41
https://doi.org/10.36227/techrxiv.22189216
https://doi.org/10.36227/techrxiv.22189216
Publikováno v:
INTED2023 Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d34d2ab174a12a71110f2ab5959ba113
https://doi.org/10.21125/inted.2023.1861
https://doi.org/10.21125/inted.2023.1861
Autor:
Karyn Doke, Qianli Yuan, Mariya Zheleva, Mila Gasco-Hernandez, J. Ramon Gil-Garcia, Petko Bogdanov, Megan Sutherland-Mitzer
Publikováno v:
GetMobile: Mobile Computing and Communications. 24:5-11
Recent disasters have highlighted the gap between existing urbancentric resilience models and the needs of rural communities, which are frequently marginalized. Large rural constituencies, encompassing vast and sparsely populated areas, lack broadban
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f52d715934ca2475bddd4c1fad6fbb56
https://doi.org/10.1145/3427384.3427386
https://doi.org/10.1145/3427384.3427386
Autor:
Qianli Yuan, Karyn Doke, Mila Gasco-Hernandez, J. Ramon Gil-Garcia, Mariya Zheleva, Petko Bogdanov
Publikováno v:
Proceedings of the Annual Hawaii International Conference on System Sciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c076101a5110f7dea9f871ea256291c
https://doi.org/10.24251/hicss.2022.322
https://doi.org/10.24251/hicss.2022.322
Publikováno v:
SECON
Modulation recognition (modrec) is an essential transmitter fingerprinting task that enables future spectrum-sharing applications such as access management and enforcement. Traditional supervised modrec requires labeled training data for all target m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0924c2d64c3e1e5b19457addbe2b085
https://doi.org/10.1109/secon52354.2021.9491617
https://doi.org/10.1109/secon52354.2021.9491617
Publikováno v:
SECON
While mobile devices are ubiquitous, their supporting communication infrastructure is cost-effective only in densely populated urban areas and is often lacking in rural settings. This lack of connectivity leads to lost opportunities in applications s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c35ff1ddef3361e00e6e2659718d38f9
https://doi.org/10.1109/secon52354.2021.9491597
https://doi.org/10.1109/secon52354.2021.9491597
Publikováno v:
IEEE Transactions on Mobile Computing. 18:221-234
While cellular networks connect over 3.7 billion people worldwide, their availability and quality is not uniform across regions. Under-provisioned and overloaded networks, as are common in rural or post-disaster areas, lead to poor network performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::045e1a9e776053fe41cf67164b6d65ec
https://doi.org/10.1109/tmc.2018.2827031
https://doi.org/10.1109/tmc.2018.2827031
Autor:
Qianli Yuan, J. Ramon Gil-Garcia, Habib O. Affinnih, Petko Bogdanov, Karyn Doke, Mila Gasco-Hernandez, Mariya Zheleva
Publikováno v:
COMPASS
The unique socio-economic structure of rural communities makes them particularly vulnerable to emergencies. However, rural emergency preparedness and response (EPR) significantly lag behind their urban counterparts. A key obstacle to timely dissemina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65b5fb34e76a721d1e53cad0f65df6c9
https://doi.org/10.1145/3460112.3471944
https://doi.org/10.1145/3460112.3471944
Publikováno v:
INFOCOM
Automatic Modulation Classification (AMC) is significant for the practical support of a plethora of emerging spectrum applications, such as Dynamic Spectrum Access (DSA) in 5G and beyond, resource allocation, jammer identification, intruder detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21cbfde17db0c644cb469fd8651101c9
https://doi.org/10.1109/infocom42981.2021.9488835
https://doi.org/10.1109/infocom42981.2021.9488835