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pro vyhledávání: '"Gecgel A"'
There is no doubt that the Moon has become the center of interest for commercial and international actors. Over the past decade, the number of planned long-term missions has increased dramatically. This makes the establishment of cislunar space netwo
Externí odkaz:
http://arxiv.org/abs/2310.09835
Space has been reforming and this evolution brings new threats that, together with technological developments and malicious intent, can pose a major challenge. Space domain awareness (SDA), a new conceptual idea, has come to the forefront. It aims se
Externí odkaz:
http://arxiv.org/abs/2211.10260
Publikováno v:
In Journal of Environmental Management June 2024 362
Autor:
Hakan Benli, Duygu Gecgel Yildiz
Publikováno v:
Animal Bioscience, Vol 36, Iss 8, Pp 1274-1284 (2023)
Objective Understanding consumer perception of meat quality in developing countries is an important issue since consumer perception of quality could be highly variable. In the current study, consumers’ purchasing preferences affected by marbling an
Externí odkaz:
https://doaj.org/article/227d3d00b0f84e6b88e77bb0ca82724c
Autor:
Gecgel, Selen, Kurt, Gunes Karabulut
Towards sixth-generation networks (6G), satellite communication systems, especially based on Low Earth Orbit (LEO) networks, become promising due to their unique and comprehensive capabilities. These advantages are accompanied by a variety of challen
Externí odkaz:
http://arxiv.org/abs/2107.06181
Communications are realized as a result of successive decisions at the physical layer, from modulation selection to multi-antenna strategy, and each decision affects the performance of the communication systems. Future communication systems must incl
Externí odkaz:
http://arxiv.org/abs/2102.07258
Publikováno v:
In Inorganic Chemistry Communications September 2023 155
Akademický článek
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Publikováno v:
In Environmental Research 1 June 2023 226
A dynamic and flexible generalized spatial modulation (GSM) framework is proposed for massive MIMO systems. Our framework is leveraged on the utilization of machine learning methods for GSM in order to improve the error performance in presence of cor
Externí odkaz:
http://arxiv.org/abs/1903.04460