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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
Online Online Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science)
(To be available after the conference date) [more]
CAS, ICTSSL 2021-01-28
Online Online On differential equations of nonlinear NPN bipolar transistor for LSTM neural networks
Cheng Wang, Hong Mo Yong, Zhi Hui He, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst.Tech) CAS2020-37 ICTSSL2020-22
(To be available after the conference date) [more] CAS2020-37 ICTSSL2020-22
CAS, ICTSSL 2021-01-28
Online Online On a music generation using LSTM neural network with Julia
Takaaki Kobayashi, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst Tech) CAS2020-38 ICTSSL2020-23
(To be available after the conference date) [more] CAS2020-38 ICTSSL2020-23
CAS, ICTSSL 2021-01-28
Online Online On differential equations and numerical approximations of a nonlinear field effect transistor for LSTM neural networks
Zhihui He, Cheng Wang, Moyong Hong, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-39 ICTSSL2020-24
(To be available after the conference date) [more] CAS2020-39 ICTSSL2020-24
CAS, ICTSSL 2021-01-28
Online Online On a build of road sign detection method using Flux
Chang Jiahang, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-40 ICTSSL2020-25
(To be available after the conference date) [more] CAS2020-40 ICTSSL2020-25
MBE, MICT 2021-01-28
Online Online Electroencephalogram classification to motor imagery, execution, and observation of right index finger flexion using convolutional neural network
Yugo Kuramura, Junya Takemoto, Tomohiko Igasaki (Kumamoto Univ.) MICT2020-24 MBE2020-29
(To be available after the conference date) [more] MICT2020-24 MBE2020-29
MBE, MICT 2021-01-28
Online Online Consideration about Learning Scheme with Outlier Detection in Training Data for Prediction Model of Medication Effect Using Recurrent Neural Networks
Yoshitomo Sakuma, Takumi Kobayashi, Chika Sugimoto, Ryuji Kohno (Yokohama National Univ.) MICT2020-27 MBE2020-32
(To be available after the conference date) [more] MICT2020-27 MBE2020-32
CAS, ICTSSL 2021-01-28
Online Online A Hardware Implementation of Neural Networks using HDLRuby, a Ruby-based Hardware Description Language
Ryota Sakai, Yuki Maehara, Lovic Gauthier (NITAC) CAS2020-53 ICTSSL2020-38
(To be available after the conference date) [more] CAS2020-53 ICTSSL2020-38
CAS, ICTSSL 2021-01-28
Online Online Study of a Hardware Implementation of a Long Short-Term Memory with HDLRuby
Yuki Maehara, Ryota Sakai, Lovic Gauthier (NITAC) CAS2020-54 ICTSSL2020-39
(To be available after the conference date) [more] CAS2020-54 ICTSSL2020-39
CAS, ICTSSL 2021-01-29
Online Online How to create a dataset for stock price forecasting using NN
Fuya Kaneda, Kousuke Kato, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-56 ICTSSL2020-41
(To be available after the conference date) [more] CAS2020-56 ICTSSL2020-41
CAS, ICTSSL 2021-01-29
Online Online Consideration of Switching by Chaotic Neurodynamics for Asymmetric TSPs by using Hidden Markov Model
Tomoya Matsuno, Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2020-59 ICTSSL2020-44
(To be available after the conference date) [more] CAS2020-59 ICTSSL2020-44
CAS, ICTSSL 2021-01-29
Online Online A Method for Solving Traveling Salesman Problems Using Switching of Crossover by Chaotic Neurodynamics
Masayuki Kashiwagi, Tomoki Ishizawa, Toshihiro Tashibana (Shonan Inst. of Tech.) CAS2020-60 ICTSSL2020-45
(To be available after the conference date) [more] CAS2020-60 ICTSSL2020-45
CAS, ICTSSL 2021-01-29
Online Online Reproduction of Japanese drumming rhythm by Deep Neural Network(DNN)
Kazumi Okamoto, Hiroshi Tamura (Chuo Univ.) CAS2020-69 ICTSSL2020-54
(To be available after the conference date) [more] CAS2020-69 ICTSSL2020-54
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] 2021-01-25
Online Online (Planning to use Zoom) A High-speed Convolutional Neural Network Accelerator for an Adaptive Resolution on an FPGA
Koki Sayama, Akira Jinguji, Naoto Soga, Hiroki Nakahara (Tokyo Tech) VLD2020-49 CPSY2020-32 RECONF2020-68
In recent years, CNN has been used for various tasks in the field of computer vision and has achievedexcellent performan... [more] VLD2020-49 CPSY2020-32 RECONF2020-68
IE 2021-01-21
Online Online Comparing Pixel Predictors with Different Coding Order for Lossless Image Coding
Aki Kunieda, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IE2020-34
The efficiency of lossless image coding depends on the pixel predictors, with which unknown pixels are predicted from al... [more] IE2020-34
Online Online Examination of precipitation estimation using atmospheric variables
Takanori Ito, Motoki Amagasaki, Kei Ishida, Masato Kiyama, Masahiro Iida (GSST Kumamoto University) NC2020-34
In this paper, we developed a model for SR using ConvLSTM to improve the resolution of precipitation data.
In the relat... [more]
SIP, IT, RCS 2021-01-21
Online Online conference Performance Evaluation of Convolutional Poalr Code with Neural Network Decoder
Riko Maeda (Kagawa Univ.), Satoshi Suyama, Takahiro Asai (NTT DOCOMO), Nobuhiko Miki (Kagawa Univ.) IT2020-67 SIP2020-45 RCS2020-158
The Polar code proposed by Arıkan is a code that can achieve a property approaching the Shannon limit under successive c... [more] IT2020-67 SIP2020-45 RCS2020-158
ICM, LOIS 2021-01-21
Online Online A Study of Learning Data Generation for a Sound-based Life Activity Estimation System Using Video Images
Kentaro Matsuda, Ken Tsutsuguchi, Manabu Okamoto (Sojo Univ) ICM2020-36 LOIS2020-24
The number of HIKIKOMORI has been increasing year by year, and the number of households that cannot make ends meet has b... [more] ICM2020-36 LOIS2020-24
Online Online Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand
Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2020-36
Object recognition and object grasping using image recognition methods have been actively researched, but most of them c... [more] NC2020-36
SeMI 2021-01-20
Online Online SeMI2020-48 Although Convolutional Neural Network (CNN) showed high potential for automatic meter reading, it is facing various chal... [more] SeMI2020-48
 Results 1 - 20 of 1177  /  [Next]  
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