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Bita Kheibari
Bita Kheibari
EGE UNIVERSITY
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Alıntı yapanlar
Alıntı yapanlar
Yıl
Quality estimation for DASH clients by using Deep Recurrent Neural Networks
B Kheibari, M Sayıt
2020 16th International Conference on Network and Service Management (CNSM), 1-8, 2020
72020
SDN-CPS: Selecting codec, path and server for video streaming over SDN
RS Kalan, S Bikas, B Kheibari, M Sayit
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
22018
Machine Learning for E-triage
Ş Bora, A Kantarcı, A Erdoğan, B Beynek, B Kheibari, V Evren, ...
Int J Multidiscip Stud Innov Technol, 2022
12022
Machine Learning for E-triage
B Şebnem, A KANTARCI, A Erdoğan, B Beynek, B Kheibari, V Evren, ...
International Journal of Multidisciplinary Studies and Innovative …, 2022
2022
A machine learning based SDN approach for enhancing QOE of DASH
B Kheibari
Ege Üniversitesi, Fen Bilimleri Enstitüsü, 2021
2021
A WebRTC Architecture Assisted by Software Defined Networks
A Ünver, B Kheibari, M Sayıt
2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020
2020
A WebRTC Architecture Assisted by Software Dened Networks [Yazilim Tanimli Ag Teknolojisi Destekli WebRTC Mimarisi]
A Unver, B Kheibari, M Sayit
Institute of Electrical and Electronics Engineers Inc., 2020
2020
SDN-CPS: Selecting Codec, Path and Server for Video Streaming over SDN
R Shokri Kalan, S Bikas, B Kheibari, M Sayit
Ieee, 2018
2018
SDN-CPS: Selecting codec, path and server for video streaming over SDN [YTA-CYS: YTA üzerinden video akişlandirma uygulamalari için codec, yol ve sunucu seçimi]
RS Kalan, S Bikas, B Kheibari, M Sayit
Institute of Electrical and Electronics Engineers Inc., 2018
2018
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