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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 467  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2022-11-24
16:15
Shiga
(Primary: On-site, Secondary: Online)
Genetic programming supported by physics-inspired methods
Soichiro Kanaya, Toma Takano, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.)
 [more]
NLP 2022-11-24
16:40
Shiga
(Primary: On-site, Secondary: Online)
Photonic reservoir computing with optical microcavities
Kohei Arai, Tomoya Yamaguchi, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.)
 [more]
NLP 2022-11-24
17:05
Shiga
(Primary: On-site, Secondary: Online)
Haptic sensing based on deep learning and laser speckles
Koyo Sagehashi, Kei Kitagawa, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.)
 [more]
CS, IE, IPSJ-AVM, ITE-BCT [detail] 2022-11-24
14:55
Aichi Nagoya Institute of Technology
(Primary: On-site, Secondary: Online)
A Study of an MRI Hepatic Fibrillation Stage Diagnostic System Using Deep Learning
Yusaku Nishimura, Kousuke Imamura, Satoshi Kobayashi (Kanazawa Univ.)
 [more]
TL 2022-10-01
14:10
Online Online 【Panel Discussion】 Fostering Creativity and Empathy through Observation
Akio Shimogori (NITHC), Tetsuo Kiyota (Okayama Univ.), Minatsu Ariga (Kanazawa Univ.) TL2022-12
 [more] TL2022-12
pp.5-6
TL 2022-10-01
14:40
Online Online Development and Practice of Methods for Fostering Logical Thinking through Art
Aya Morimoto (Yokkaichi H.S.), Minatsu Ariga (KU), Akio Shimogori (NITHC) TL2022-13
 [more] TL2022-13
pp.7-8
COMP, IPSJ-AL 2022-05-19
13:00
Online Online Transportation Problem on a Graph
Tetsuo Asano (Kanazawa Univ.) COMP2022-1
We consider a transportation problem defined on a node-weighted undirected graph. Weight is positive if the amount of c... [more] COMP2022-1
pp.1-8
COMP, IPSJ-AL 2022-05-19
13:35
Online Online Transportation Problem Allowing Sending and Bringing Back
Tetsuo Asano (Kanazawa Univ.) COMP2022-2
This paper considers a transportation problem on a weighted graph. The weights specify the amounts of commodities at no... [more] COMP2022-2
pp.9-16
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
11:30
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Implementation of a Lightweight Automatic Speech Recognition System at the Edge
Haotian Tan, Junichi Akita (Kanazawa Univ.)
Automatic speech recognition (ASR) on the cloud has been widely adopted and has demonstrated satisfactory performance. W... [more]
NLC 2022-03-07
10:15
Online Online Good impression of Japan and tourism-purpose ratio of the people of China, Korea and Taiwan
Takashi Oyabu (Nihonkai International Exchange C.), Hidetaka Nambo (Kanazawa Univ), Junko Nakamura (Seiryo Univ), Ayako Sawada (Hokuriku Gakuin College), Aijin Liu (Dalian Pol. Tech. Univ.), Haruhiko Kimura (Komatsu Univ) NLC2021-28
Japan has the lowest growth rate of GDP in seven developed countries. The main reason is as follows, namely many kinds o... [more] NLC2021-28
pp.1-6
MBE, NC
(Joint)
2022-03-02
09:55
Online Online Stability of muscle synergy patterns for sit-to-stand motions under different conditions
Julian Ilham, Yuichi Nakamura, Kazuaki Kondo (Kyoto Univ.), Takahide Ito (Riken/Kyoto Univ.), Qi An (Kyushu Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda (Kumamoto Univ) MBE2021-88
Sit-to-stand (STS) is one of important motions in daily life. The analysis of STS is important not only for the rehabili... [more] MBE2021-88
pp.5-8
MBE, NC
(Joint)
2022-03-02
11:00
Online Online How attention affects neck muscle activations in head rotations
Katsuya Takahashi, Kei Shimonishi, Kazuaki Kondo (Kyoto Univ.), Ito Takahide (RIKEN/Kyoto Univ.), Masashi Toda (Kumamoto Univ.), Junichi Akita (Kanazawa Univ.), Nakamura Yuichi (Kyoto Univ.) MBE2021-90
We employed EMG (electromyography) for investigating neck muscle activations in head rotations with different attentiona... [more] MBE2021-90
pp.13-16
HIP, ITE-HI, ASJ-H, VRPSY [detail] 2022-02-27
15:15
Online Online Motion Estimation from Myoelectric Signals Using SVM and Its Application to Muscle Fatigue Assessment
Daiya Kibe, Masahiro Migita, Masashi Toda (Kumamoto Univ), Kazuaki Kondo (Kyoto Univ), Junichi Akita (Kanazawa Univ), Yuichi Nakamura (Kyoto Univ) HIP2021-62
(To be available after the conference date) [more] HIP2021-62
pp.17-22
MI 2022-01-25
14:30
Online Online Practical quantitative method of regional cerebral blood flow: diffusion imaging with phase-contrast (DIP)
Genki Nambu, Naoki Ohno, Tosiaki Miyati, Fumiki Sugita, Yuki Makino, Momoka Ikeda (Kanazawa Univ.), Noam Alperin (UM), Toshifumi Gabata, Satoshi Kobayashi (Kanazawa Univ.) MI2021-42
Perfusion-related diffusion coefficient (D*) in intravoxel incoherent motion analysis is closely correlated with the reg... [more] MI2021-42
pp.1-2
MI 2022-01-26
13:13
Online Online Analysis of renal volume using multiposture MRI during posture change
Koga Kawano, Tosiaki Miyati, Naoki Ohno, Seiya Nakagawa, Yuki Oda, Satoshi Kobayashi (Kanazawa Univ.) MI2021-60
We evaluated changes in renal volume with postural changes in the supine and upright positions using an original MRI tha... [more] MI2021-60
pp.65-66
MI 2022-01-26
13:26
Online Online Analysis of renal function using multiposture MRI during posture change
Seiya Nakagawa, Tosiaki Miyati, Naoki Ohno, Yuki Oda, Koga Kawano, Satoshi Kobayashi (Kanazawa Univ.) MI2021-61
We assessed the effect of posture change on regional kidney function in the supine and upright positions using an origin... [more] MI2021-61
pp.67-69
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-21
11:20
Online Online Multimodal sensing using optical scattering from soft materials and deep learning
Sho Shimadera, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-78 MICT2021-53 MBE2021-39
(To be available after the conference date) [more] NLP2021-78 MICT2021-53 MBE2021-39
p.35
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-21
11:45
Online Online Physical deep learning based on optimal control of dynamical systems
Satoshi Sunada, Genki Furuhata, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-79 MICT2021-54 MBE2021-40
An underlying key factor of deep neural networks is the information propagation through the layers. This suggests a conn... [more] NLP2021-79 MICT2021-54 MBE2021-40
p.36
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-21
11:45
Online Online Estimation of Cognitive Function by Multi-scale Entropy Analysis in EEG Signals
Yuta Iinuma, Sou Nobukawa (CIT), Kimoko Mizukami (KU), Megumi Kawaguchi (FU), Yuji Tanaka (AMH), Masato Higashima (SH), Tetuya Takahashi (FU) NC2021-33
 [more] NC2021-33
pp.13-18
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-21
13:40
Online Online Interspecific competition dynamics solving multi-armed bandit problems in reinforcement learning
Tomoaki Niiyama, Genki Furuhata (Kanazawa Univ.), Atsushi Uchida (Saitama Univ.), Makoto Naruse (Univ. of Tokyo), Satoshi Sunada (Kanazawa Univ.) NLP2021-80 MICT2021-55 MBE2021-41
 [more] NLP2021-80 MICT2021-55 MBE2021-41
p.37
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