Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Salih Ergut"'
Publikováno v:
Fang, Y, Ergüt, S & Patras, P 2022, ' SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting ', IEEE Communications Letters, vol. 26, no. 3, pp. 582-586 . https://doi.org/10.1109/LCOMM.2022.3141238
Accurate mobile traffic prediction at city-scale is becoming increasingly important as data demand surges and network deployments become denser. How mobile networks and user mobility are modelled is key to high-quality forecasts. Prior work builds on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b062a55e8162bf47fe06a464da46c21b
https://doi.org/10.1109/lcomm.2022.3141238
https://doi.org/10.1109/lcomm.2022.3141238
Publikováno v:
Journal of Network and Systems Management. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2baa4af6af8bb5bdde09daf4f853e93d
https://doi.org/10.1007/s10922-023-09730-7
https://doi.org/10.1007/s10922-023-09730-7
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems.
IEEE Transactions on Neural Networks and Learning Systems.
Recurrent Neural Networks (RNNs) are widely used for online regression due to their ability to generalize nonlinear temporal dependencies. As an RNN model, Long-Short-Term-Memory Networks (LSTMs) are commonly preferred in practice, as these networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8a97dfc5313576cd032b515110561c2
https://hdl.handle.net/11693/77682
https://hdl.handle.net/11693/77682
Autor:
Gökhan Kalem, Albert Cabellos-Aparicio, Sergi Abadal, Maria Torres Vega, Jeroen Famaey, Belkacem Mouhouche, Christoph Grimm, Tomas Sabol, Marian Mach, Akshay Jain, Salih Ergut, Christos Liaskos, Evangelos Papapetrou, Filip De Turck
Publikováno v:
Journal of network and systems management
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The final publication is available at Springer via http://dx.doi.org/10.1007/s10922-020-09545-w Despite remarkable advances, current augmented and virtual reality (AR/VR) applications are a largely individual and local experience. Interconnected AR/V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe1dc07d361492b651a20b159aab4f68
https://repository.uantwerpen.be/docstore/d:irua:1462
https://repository.uantwerpen.be/docstore/d:irua:1462
Publikováno v:
IEEE Transactions on Signal Processing
We study adaptive (or online) nonlinear regression with Long-Short-Term-Memory (LSTM) based networks, i.e., LSTM-based adaptive learning. In this context, we introduce an efficient Extended Kalman filter (EKF) based second-order training algorithm. O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deab45265e3adf21bf9937bea8bc5adf
http://arxiv.org/abs/1910.09857
http://arxiv.org/abs/1910.09857
Publikováno v:
MobiGIS
Predicting the next location of people from their mobile phone logs has become an active research area. Due to two main reasons this problem is very challenging: the log data is very large and there are variety of granularity levels for specifying th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc7e8410c61ff4bbd48169cabb299c3a
https://doi.org/10.1145/2675316.2675318
https://doi.org/10.1145/2675316.2675318
Publikováno v:
WCNC Workshops
The increase on smartphone usage has brought the burden of data traffic with it. Operators are looking for cost-effective solutions to overcome the problem of 3G infrastructure for high contention traffic scenarios. Several schemes were offered to sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54e717269ba2cea4fa9130ac559d1be6
https://doi.org/10.1109/wcncw.2014.6934882
https://doi.org/10.1109/wcncw.2014.6934882
Autor:
Ahmet Akan, Salih Ergut, Burak AykutSungur, Engin Zeydan, Omer Faruk Kurt, Omer Dedeoglu, Omer Iieri, Omer Faruk Celebi
Publikováno v:
ICT
Proliferation of data services has made it mandatory for operators to be able identify geographical regions with 3G connectivity discontinuity in a scalable and cost-efficient manner. The currently used methods for such analysis are either costly - s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f5f52c9a41f60404083fa9468990a93
https://doi.org/10.1109/ictel.2013.6632155
https://doi.org/10.1109/ictel.2013.6632155
Autor:
O. Ileri, H. Buyruk, Salih Ergut, Engin Zeydan, Ahmet Kenan Keskin, Hasari Celebi, S. Sendil, Hakan P. Partal
Publikováno v:
SIU
The demand for location-based services (LBS) in indoor environments such as shopping malls and airports has increased recently. In order to support such LBS applications accurate indoor localization systems are required. Therefore, in this paper, K-N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27542b0b4a527000626c5e3693e10190
https://doi.org/10.1109/siu.2013.6531375
https://doi.org/10.1109/siu.2013.6531375
Publikováno v:
SIU
Today, the IT world is trying to cope with “big data” problems (data volume, velocity, variety, veracity) on the path to obtaining useful information. In this paper, we present implementation details and performance results of realizing “online
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb306b3419519fd204c9ec17428c1d87
https://doi.org/10.1109/siu.2013.6531483
https://doi.org/10.1109/siu.2013.6531483