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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SR | 2019-12-05 13:50 |
Okinawa | Ishigaki City Hall (Ishigaki Island) | [Poster Presentation]
Quality state analysis of eNodeB log data by semi-supervised learning using Self training Shouta Yoshida (TCU), Atsushi Morohoshi (Fujitsu Fsas), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan)  SR2019-92 |
In an LTE network where traffic is increasing year by year. It is important to quickly find the cause when a failure occ... [more] | SR2019-92 pp.29-36 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 15:00 |
Osaka | I-Site Nanba（Osaka） | Deep learning-based classification for the automatic of eNodeB state management in LTE networks Kazuki Hara (Tsukuba Univ.), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) RCC2019-41 NS2019-77 RCS2019-134 SR2019-53 SeMI2019-50 |
It is crucial to identify the cause immediately when a failure occurs at base station of mobile communication. However, ... [more] | RCC2019-41 NS2019-77 RCS2019-134 SR2019-53 SeMI2019-50 pp.145-150(RCC), pp.171-176(NS), pp.167-172(RCS), pp.177-182(SR), pp.159-164(SeMI) |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 15:25 |
Osaka | I-Site Nanba（Osaka） | Few-shot Learning based on Prototypical Network to Understand Area Service Level in LTE Networks Shogo Aoki (Waseda Univ.), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) RCC2019-42 NS2019-78 RCS2019-135 SR2019-54 SeMI2019-51 |
In case a base station in mobile network malfunction, it is crucial to classify a service degradation event and identify... [more] | RCC2019-42 NS2019-78 RCS2019-135 SR2019-54 SeMI2019-51 pp.151-156(RCC), pp.177-182(NS), pp.173-178(RCS), pp.183-188(SR), pp.165-170(SeMI) |
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