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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 630  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2022-11-17
Online Online Edge Server Optimization Based on Stochastic Differential Equation Models
Kohei Fujita (Yamaguchi Univ.), Yoshinobu Tamura (Yamaguchi univ.), Shigeru Yamada (Tottori univ.)
CAS, MSS, IPSJ-AL [detail] 2022-11-17
(Primary: On-site, Secondary: Online)
On preventing the spread of malicious botnets by white-hat bots
Ryutarou Matsumoto, Shingo Yamaguchi (Yamaguchi Univ.)
RCS 2022-10-28
Ehime Ehime University, and online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Novel wireless communication system realyzed by mobile terminal collaboration -- Recent results and application to uplink transmission --
Hidekazu Murata, Yuta Ida (Yamaguchi Univ.), Kazuki Maruta (Tokyo Univ. of Science), Yutaka Jitsumatsu (Tokyo Tech), Osamu Muta (Kyushu Univ.), Hiraku Okada (Nagoya Univ.), Eiji Okamoto (NITech), Yukitoshi Sanada (Keio Univ.), Toshihiko Nishimura (Hakkaido Univ.), Satoshi Denno (Okayama Univ.)
HIP 2022-10-17
Kyoto Kyoto Terrsa
(Primary: On-site, Secondary: Online)
[Invited Talk] Numerosity Perception in a 3-D Space
Saori Aida (Yamaguchi Univ.)
(To be available after the conference date) [more]
- 2022-10-15
Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)
[Poster Presentation] Improving CSI Interpolation Accuracy of Iterative IDFT/DFT with HTRCI for OFDM Scattered Pilots
Ren Takahashi, Kazuki Maruta (Tokyo Univ. of Science), Yuta Ida (Yamaguchi Univ.)
(To be available after the conference date) [more]
ET 2022-09-17
Hiroshima Hiroshima University and Online
(Primary: On-site, Secondary: Online)
A Development of Learning and Teaching Support Functions Using Word Cloud in Online Class
Makoto Yokoyama, Ryo Takaoka (Yamaguchi Univ.) ET2022-13
 [more] ET2022-13
R 2022-07-29
(Primary: On-site, Secondary: Online)
Inspection Model for a Linear Consecutive-k-out-of-n: G System
Lei Zhou (Yamaguchi Univ.), Hisashi Yamamoto (Tokyo Met. Univ.) R2022-12
A linear consecutive-k-out-of-n: G system consists of n components which are arranged in a line and the system works if ... [more] R2022-12
MI 2022-07-08
(Primary: On-site, Secondary: Online)
[Short Paper] Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss
Rahul Kumar Jain (Rahul), Takahiro Sato (Takahiro), Taro Watasue (Taro), Tomohiro Nakagawa (Tomohiro), Yutaro Iwamoto (Yutaro), Xianhua Han (Xianhua), Lanfen Lin (Lanfen), Hongjie Hu (Hongjie), Yen-Wei Chen (Yen-Wei) MI2022-37
Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] MI2022-37
MI 2022-07-08
(Primary: On-site, Secondary: Online)
[Short Paper] Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation
Swathi Ananda (Swathi), Yutaro Iwamoto (Yutaro), Xianhua HAN (Xianhua), Lanfen Lin (Lanfen), Hongjie Hu (Hongjie), Yen-Wei Chen (Yen-Wei) MI2022-38
Multi-phase computed tomography (CT) images are widely used for the diagnosis of liver disease, since different phase ha... [more] MI2022-38
MI 2022-07-08
(Primary: On-site, Secondary: Online)
[Short Paper] Deep Learning-based Risk Prediction Model for Disease-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image
Weibin Wang (Ristumeikan Univ.), Fang Wang (Zhejiang Univ.), Yunjun Yang (Wenzhou Medical Univ.), Yinhao Li (Ristumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Yen-wei Chen (Ristumeikan Univ.) MI2022-39
 [more] MI2022-39
MI 2022-07-08
(Primary: On-site, Secondary: Online)
[Short Paper] Weakly-Supervised Focal Liver Lesion Detection in CT Images
He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] MI2022-40
RECONF 2022-06-07
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)
Performance Evaluation of Fault-Tolerant Routing Methods Using NAS Parallel Benchmarks
Yota Kurokawa, Masaru Fukushi (Yamaguchi Univ.) RECONF2022-4
This paper proposes an evaluation method of fault-tolerant routing methods developed for Network-on-Chips (NoCs) using p... [more] RECONF2022-4
MSS, NLP 2022-03-29
Online Online A proposal of method for defending against cyber attacks by combining honeypots and IPS
Yudai Yamamoto, Shingo Yamaguchi (Yamaguchi Univ.) MSS2021-71 NLP2021-142
We propose a defense system that makes it possible to detect and prevent attacks targeting web applications and IoT devi... [more] MSS2021-71 NLP2021-142
MSS, NLP 2022-03-29
Online Online Verification of a Human Body Model of Traditional Chinese Medicine
Quan Gan (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2021-72 NLP2021-143
Acupuncture and moxibustion treatment in traditional Chinese medicine is effective for ahead sick and intractable diseas... [more] MSS2021-72 NLP2021-143
MSS, NLP 2022-03-29
Online Online Decision of Acupoints in Acupuncture and Moxibustion Treatment by Deep Learning
Hang Yang (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2021-73 NLP2021-144
Most of the acupuncture and moxibustion treatments in Traditional Chinese Medicine are carried out based on the clinical... [more] MSS2021-73 NLP2021-144
MSS, NLP 2022-03-29
Online Online Weighted Dice Loss for Segmentation from Noisy Labels
Toshikazu Samura, Katsumi Tadamura (Yamaguchi Univ.) MSS2021-77 NLP2021-148
Deep neural networks (DNNs) are easily affected by noisy labels during training. It degrades the classification performa... [more] MSS2021-77 NLP2021-148
EMM 2022-03-08
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] Study on JPEG Compression Resistant Watermarking Method Trained with Quantized Activation Function
Shingo Yamauchi, Masaki Kawamura (Yamaguchi Univ.) EMM2021-110
We propose a watermarking method that introduces a quantized activation function to acquire robustness against quantizat... [more] EMM2021-110
SIS 2022-03-03
Online Online A Proposal of n-level Error Diffusion Method by Using Piecewise Linear Conversion
Shuma Takeda (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2021-31
 [more] SIS2021-31
SIS 2022-03-03
Online Online A Proposal of Nighttime Dehazing Method Suppressing Over Enhancement
Takafumi Akita, Mashiho Mukaida, Eiji Uchino, Noriaki Suetake (Yamaguchi Univ.) SIS2021-33
When images or videos are captured in outdoors, the visibility of objects may be affected by haze such as fog. In recent... [more] SIS2021-33
SIS 2022-03-03
Online Online A Proposal of Night Vision Algorithm on Equ-Hue Plane in RGB Color Space
Mashiho Mukaida (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Eiji Uchino, Noriaki Suetake (Yamaguchi Univ.) SIS2021-34
Images taken under low-light conditions such as at night or in a dark rooms are dark and have low visibility. Recently, ... [more] SIS2021-34
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