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Committee Date Time Place Paper Title / Authors Abstract Paper #
ISEC, IT, WBS 2020-03-10
13:25		 Hyogo University of Hyogo
(Cancelled but technical report was issued)		 Research on DNS tunnel detection by machine learning using appearance characters -- Consideration of implementation of evaluation program --
Tetsuya Asakura, Takeo Tatsumi (OUJ) IT2019-103 ISEC2019-99 WBS2019-52		 In this study, we considered an implementation a detection technique of DNS tunnel.
This detection techniqe is likely t... [more]		 IT2019-103 ISEC2019-99 WBS2019-52
pp.87-94
MI 2020-01-29
09:55		 Okinawa OKINAWAKEN SEINENKAIKAN Automated dection for neck and thoracic lesions on FDG-PET/CT by lesion enhancement using one-class SVM
Atsuko Tanaka, Mitsutaka Memoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Kazuyuki Ushifusa (Kindai Uni), Kohei Hanaoka (Kindai Uni Hosp), Kazuhiro Kitajima (Hyogo Col of Med), Tatsuya Tsuchitani (Hosp of Hyogo Col of Med), Kazunari Ishii (Kindai Uni) MI2019-67		 We propose an anomaly detection based method to detect primary and metastatic lesions in the cervical and thoracic regio... [more] MI2019-67
pp.11-14
ISEC, SITE, LOIS 2019-11-02
15:25		 Osaka Osaka Univ. Research on DNS tunnel detection by machine learning using appearance characters
Tetsuya Asakura, Takeo Tatsumi (OUJ) ISEC2019-84 SITE2019-78 LOIS2019-43		 In this study, as a detection technique of DNS tunnel, it was tried to detect abnormal DNS query string by machine learn... [more] ISEC2019-84 SITE2019-78 LOIS2019-43
pp.141-148
ET 2018-06-16
13:35		 Aichi Nanzan University Anomaly Detection for Pointing out Mistaken Folding in Origami
Hiroshi Shimanuki, Toyohide Watanabe (NISRI), Koichi Asakura, Hideki Sato (Daido Univ.) ET2018-13		 We have developed a system that detects the location of origami paper from single camera images and supports foldings in... [more] ET2018-13
pp.7-11
PRMU, DE 2007-06-29
16:45		 Hokkaido Hokkaido Univ. Measuring Drivers' Behavior Using Wireless 3D-Accelerometers for Anomaly Detection
Masahiro Tada (ATR), Ren Ohmura (Keio Univ.), Futoshi Naya, Haruo Noma, Tomoji Toriyama, Kiyoshi Kogure (ATR) DE2007-21 PRMU2007-47		 In this paper, we propose a method for directly measuring and analyzing driving behavior using wireless 3D-accelerometer... [more] DE2007-21 PRMU2007-47
pp.117-122
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