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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-03-07
14:20		 Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 [Short Paper] A Hybrid CT Image Reconstruction Method of Deep Learning and Compressive Sensing and Application to Limited-Angle CT Reconstruction
Shogo Aoki, Katsuya Fujii, Souta Okabe, Yuki Sato, Hiroyuki Kudo (Univ.Tsukuba) MI2022-115		  [more] MI2022-115
pp.175-176
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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