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pro vyhledávání: '"Turlykozhayeva, D. A."'
Autor:
Ussipov, N., Akhtanov, S., Turlykozhayeva, D., Temesheva, S., Akhmetali, A., Zaidyn, M., Namazbayev, T., Bolysbay, A., Akniyazova, A., Tang, Xiao
Over the past decade, Wireless Mesh Networks (WMNs) have seen significant advancements due to their simple deployment, cost-effectiveness, ease of implementation and reliable service coverage. However, despite these advantages, the placement of nodes
Externí odkaz:
http://arxiv.org/abs/2406.08870
Autor:
Turlykozhayeva, D. A., Waldemar, W., Akhmetali, A. B., Ussipov, N. M., Temesheva, S. A., Akhtanov, S. N.
Wireless Mesh Networks (WMNs) are crucial for various sectors due to their adaptability and scalability, providing robust connectivity where traditional wired networks are impractical. WMNs facilitate smart city initiatives, disaster recovery efforts
Externí odkaz:
http://arxiv.org/abs/2406.05698
Autor:
Ussipov, N., Akhtanov, S., Zhanabaev, Z., Turlykozhayeva, D., Karibayev, B., Namazbayev, T., Almen, D., Akhmetali, A., Tang, X.
Automatic Modulation Classification (AMC) is an essential technology that is widely applied into various communications scenarios. In recent years, many Machine Learning and Deep-Learning methods have been introduced into AMC, and a lot of them apply
Externí odkaz:
http://arxiv.org/abs/2406.05529
Autor:
Turlykozhayeva D. A., Akhtanov S. N., Baigaliyeva A. N., Temesheva S. A., Zhexebay D. M., Zaidyn M., Ussipov N. M., Skabylov A. A.
Publikováno v:
Eurasian Physical Technical Journal; 2024, Vol. 21 Issue 2, p70-82, 13p
Akademický článek
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