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pro vyhledávání: '"Bacanli, Salih Safa"'
The recent emerging fields in data processing and manipulation has facilitated the need for synthetic data generation. This is also valid for mobility encounter dataset generation. Synthetic data generation might be useful to run research-based simul
Externí odkaz:
http://arxiv.org/abs/2002.08932
Publikováno v:
IEEE International Conference on Mobile Ad-hoc Sensor Systems(IEEE MASS 2017), pp.550-554, October 2017
Smartphone carrier companies rely on mobile networks for keeping an accurate record of customer data usage for billing purposes. In this paper, we present a vulnerability that allows an attacker to force the victim's smartphone to consume data throug
Externí odkaz:
http://arxiv.org/abs/1801.08185
Autor:
Bacanli, Salih Safa, Turgut, Damla
Publikováno v:
In Computer Communications 1 September 2020 161:76-85
Akademický článek
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Autor:
Bacanli, Salih Safa
Publikováno v:
Electronic Theses and Dissertations, 2020-
This dissertation presents novel algorithms for utilizing unmanned aerial vehicles (UAVs) through various scenarios within opportunistic networks. The opportunistic networks are considered challenging due to the intermittent and unreliable communicat
Externí odkaz:
https://stars.library.ucf.edu/etd2020/644
https://stars.library.ucf.edu/context/etd2020/article/1643/viewcontent/uc.pdf
https://stars.library.ucf.edu/context/etd2020/article/1643/viewcontent/uc.pdf
Autor:
Bacanli, Salih Safa
Publikováno v:
Electronic Theses and Dissertations.
Opportunistic communication is an active research area in wireless sensor networks. Exploiting the opportunities to communicate between devices in an unstable network is one of the main challenges of the opportunistic communication. In this thesis, w
Akademický článek
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Publikováno v:
2015 IEEE Global Communications Conference (GLOBECOM); 1/1/2015, p1-6, 6p
Autor:
Matteo Mendula, Sharare Zehtabian, Paolo Bellavista, Damla Turgut, Hassam Ullah Sheikh, Ladislau Bölöni, Siavash Khodadadeh, Salih Safa Bacanli
Publikováno v:
Alma Mater Studiorum Università di Bologna-IRIS
MSWiM
MSWiM
The smart home concept can significantly benefit from predictive models that take proactive management operations on home actuators, based on users' behavior evaluation. In this paper, we use a small-scale physical model, the ScaledHome-2 testbed, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1130780c1db5fdb5a20eeef75368f53e
http://hdl.handle.net/11585/795945
http://hdl.handle.net/11585/795945