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Committee Date Time Place Paper Title / Authors Abstract Paper #
CS 2020-11-06
14:45		 Online Online + Central Community Center, Nonoichi Community Center
(Primary: Online, Secondary: On-site)		 [Invited Lecture] A self-learning traffic analysis method for self-driving private mobile networks
Anan Sawabe (NEC/UTokyo), Takanori Iwai (NEC), Akihiro Nakao (UTokyo) CS2020-63		 Recent wide-spreading IoT use cases lead IoT vertical players without wireless network expertise to utilize high perform... [more] CS2020-63
pp.81-82
MIKA
(2nd)		 2019-10-03
14:05		 Hokkaido Hokkaido Univ. [Invited Lecture] Traffic Analysis Empowered by Machine Learning for Estimating Context of IoT Application
Anan Sawabe, Takanori Iwai (NEC) 		We have observed the emergence of various Internet of Things (IoT) use cases, such as remote robot control, over the las... [more]
NS, OCS, PN
(Joint)		 2018-06-15
13:20		 Fukushima Koriyama-Shoko-Kaigisho [Encouragement Talk] Real-time Estimating Application Flow from Encrypted Traffic
Anan Sawabe, Takanori Iwai, Kozo Satoda (NEC) NS2018-33		 In recent years, mobile network operators have focused on QoE and QoC of users, which requires advanced network control ... [more] NS2018-33
pp.31-36
IN, NS, CS, NV
(Joint)		 2015-09-04
10:35		 Iwate Iwate-ken Kokaido [Encouragement Talk] Identification of Mobile Applications via In-Network Machine Learning Using N-gram for Application-Specific Traffic Control
Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2015-78		 Identifying the application transmitting a given flow of network traffic is beneficial for network management, especiall... [more] NS2015-78
pp.41-46
NS, IN
(Joint)		 2015-03-03
14:10		 Okinawa Okinawa Convention Center Identification of Mobile Applications via In-Network Machine Learning for Application Specific QoS Traffic Control
Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2014-260		 Due to the proliferation of smartphones and the explosive increase in mobile data traffic, application traffic identific... [more] NS2014-260
pp.487-492
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