Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Selim Ickin"'
Autor:
Jalil Taghia, Valentin Kulyk, Selim Ickin, Mats Folkesson, Cecilia Nyström, Kristofer Ȧgren, Thomas Brezicka, Tore Vingare, Julia Karlsson, Ingrid Fritzell, Ralph Harlid, Bo Palaszewski, Magnus Kjellberg, Jörgen Gustafsson
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Reliable forecast of COVID-19 hospital admissions in near-term horizons can help enable effective resource management which is vital in reducing pressure from healthcare services. The use of mobile network data has come to attention in respo
Externí odkaz:
https://doaj.org/article/1a823e534df94364aa5ac8bf2624d149
Publikováno v:
IEEE Transactions on Network and Service Management. 18:1925-1933
The importance of cellular networks continuously increases as we assume ubiquitous connectivity in our daily lives. As a result, the underlying core telecom systems have very high reliability and availability requirements, that are sometimes hard to
Autor:
Konstantinos Vandikas, Helene Hallberg, Selim Ickin, Cecilia Nystrom, Erik Sanders, Oleg Gorbatov, Lackis Eleftheriadis
Publikováno v:
Ericsson Technology Review. 2021:2-10
Autor:
Jalil Taghia, Valentin Kulyk, Selim Ickin, Mats Folkesson, Cecilia Nyström, Kristofer Ågren, Thomas Brezicka, Tore Vingare, Julia Karlsson, Ingrid Fritzell, Ralph Harlid, Bo Palaszewski, Magnus Kjellberg, Jörgen Gustafsson
Reliable near-time forecast of COVID-19 hospital admissions can help enable effective resource management which is vital in reducing pressure from healthcare services. The use of mobile network data has come to attention in response to COVID-19 pande
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f7abb5995feefecab1b260bb3b7434
https://doi.org/10.21203/rs.3.rs-1369613/v1
https://doi.org/10.21203/rs.3.rs-1369613/v1
Publikováno v:
Network
Volume 1
Issue 2
Pages 11-190
Volume 1
Issue 2
Pages 11-190
The development of Quality of Experience (QoE) models using Machine Learning (ML) is challenging, since it can be difficult to share datasets between research entities to protect the intellectual property of the ML model and the confidentiality of us
Publikováno v:
FlexNets@SIGCOMM
Rapid change in sensitive behaviour and profile of distributed mobile network elements necessitates privacy preserving distributed learning mechanism such as Federated Learning. Moreover, this mechanism needs to be robust that seamlessly sustains the
Autor:
Selim Ickin
Publikováno v:
FlexNets@SIGCOMM
Increasing complexity in management of immense number of network elements and their dynamically changing environment necessitates machine learning based recommendation models to guide human experts in setting appropriate network configurations to sus
Publikováno v:
NetSoft
Quality of Experience (QoE) models need good generalization that necessitates sufficient amount of user-labeled datasets associated with measurements related to underlying QoE factors. However, obtaining QoE datasets is often costly, since they are p
Streaming data services, such as video-on-demand, are getting increasingly more popular, and they are expected to account for more than 80% of all Internet traffic in 2020. In this context, it is important for streaming service providers to detect de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6294327179b69b58eb8142f010725d5
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18026
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18026
Publikováno v:
QoMEX
Estimation of user perceived quality of offered services, from massive number of Key Performance Indicator (KPI)’s that are measured in diverse components, has been a necessity for mobile network operators. The goal is first to have a good estimato