Salih Ergüt
Salih Ergüt
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Zitiert von
Zitiert von
Smart grid technologies: Communication technologies and standards
VC Gungor, D Sahin, T Kocak, S Ergut, C Buccella, C Cecati, GP Hancke
IEEE transactions on Industrial informatics 7 (4), 529-539, 2011
A survey on smart grid potential applications and communication requirements
V Gungor, D Sahin, T Kocak, S Ergut, C Buccella, C Cecati, G Hancke
IEEE Transactions on Industrial Informatics 9 (1), 28-42, 2013
Smart grid and smart homes: Key players and pilot projects
VC Gungor, D Sahin, T Kocak, S Ergut, C Buccella, C Cecati, GP Hancke
IEEE Industrial Electronics Magazine 6 (4), 18-34, 2012
Smart grid communications and networking
VC Gungor, D Sahin, T Kocak, S Ergüt
Turk Telecom, 2011
Immersive interconnected virtual and augmented reality: A 5G and IoT perspective
M Torres Vega, C Liaskos, S Abadal, E Papapetrou, A Jain, B Mouhouche, ...
Journal of Network and Systems Management 28, 796-826, 2020
On use of big data for enhancing network coverage analysis
ÖF Çelebi, E Zeydan, ÖF Kurt, Ö Dedeoğlu, Ö İieri, B AykutSungur, ...
ICT 2013, 1-5, 2013
Localization via TDOA in a UWB sensor network using Neural Networks
S Ergut, RR Rao, O Dural, Z Sahinoglu
Communications, 2008. ICC'08. IEEE International Conference on, 2398-2403, 2008
Smart grid communications and networking,‖ Türk Telekom
VC Gungor, D Sahin, T Kocak, S Ergüt
Tech. Rep. 11316-01, Apr 2011, 2011
RF fingerprinting based GSM indoor localization
H Buyruk, AK Keskin, Ş Şendil, H Çelebi, HP Partal, Ö İleri, E Zeydan, ...
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
SDGNet: A handover-aware spatiotemporal graph neural network for mobile traffic forecasting
Y Fang, S Ergüt, P Patras
IEEE Communications Letters 26 (3), 582-586, 2022
Predicting the next location change and time of change for mobile phone users
M Ozer, I Keles, İH Toroslu, P Karagoz, S Ergut
proceedings of the third ACM SIGSPATIAL international workshop on mobile …, 2014
An efficient and effective second-order training algorithm for lstm-based adaptive learning
NM Vural, S Ergüt, SS Kozat
IEEE Transactions on Signal Processing 69, 2541-2554, 2021
Alarm sequence rule mining extended with a time confidence parameter
ÖF Çelebi, E Zeydan, İ Arı, Ö Ileri, S Ergüt
IEEE International Conference on Data Mining (ICDM), 2014
Radio resource management for OFDMA-based mobile relay enhanced heterogenous cellular networks
I Bastürk, B Özbek, C Edemen, AS Tan, E Zeydan, S Ergüt
2013 IEEE 77th Vehicular Technology Conference (VTC Spring), 1-5, 2013
Classification of educational backgrounds of students using musical intelligence and perception with the help of artificial neural networks
N Hardalaç, N Ercan, F Hardalac, S Ergut
Proceedings. Frontiers in Education. 36th Annual Conference, 9-14, 2006
Seamless mobile data offloading in Heterogeneous Wireless Networks based on IEEE 802.21 and user experience
FA Tuzunkan, VC Gungor, E Zeydan, O Ileri, S Ergüt
2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2014
Achieving online regression performance of LSTMs with simple RNNs
NM Vural, F Ilhan, SF Yilmaz, S Ergüt, SS Kozat
IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7632-7643, 2021
Big Data as a source for Designing Services
P Arslan, F Casalegno, L Giusti, O Ileri, OF Kurt, S Ergüt
International Congress of International Association of Societies of Design …, 2013
Localization via multipath strengths in a CDMA2000 cellular network using neural networks
S Ergut, RR Rao, O Dural
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
Packet size aware path setup for wireless networks
M Arisoylu, S Ergut, RL Cruz, RR Rao
2008 5th IEEE Consumer Communications and Networking Conference, 6-12, 2008
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