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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 257 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2021-12-17
10:00
Oita J:COM Horuto Hall OITA Basic performances of a swarm intelligence algorithm based on spiking oscillator networks
Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2021-43
Spiking oscillator networks are simply coupling systems of plural spiking oscillators, which generate various synchroniz... [more] NLP2021-43
pp.1-6
MBE, NC
(Joint)
2021-10-28
15:55
Online Online A Study on Improvement Learning Performance with Chaos Neurons
Renshi Nagasawa, Masahiro Nakagawa (NUT) NC2021-23
In the backpropagation method in neural networks, the problem is that the energy converges to the local minimum. On the... [more] NC2021-23
pp.28-33
MBE, NC
(Joint)
2021-10-29
11:40
Online Online A numerical study on the relationship between complexity and accuracy of neural networks based on ordinary differential equations
Kaoru Esashika, Jun Ohkubo (Saitama Univ.) NC2021-26
In recent years, many reports have been published on deep neural networks. The residual networks have contributed to rem... [more] NC2021-26
pp.46-50
IN, CCS
(Joint)
2021-08-05
14:00
Online Online A Spectral-based Model of Polarization in Online Social Networks
Tomoya Kinoshita, Masaki Aida (Tokyo Metropolitan Univ.) CCS2021-15
The phenomenon known as ``polarization,'' in which a social group splits into two or more groups, can hurt social activi... [more] CCS2021-15
pp.1-6
CS 2021-07-15
17:05
Online Online A basic study on collective effects of online user dynamics under the influence of mass media
Mio Harada, Masaki Aida (Tokyo Metropolitan Univ.) CS2021-24
With the spread of social networking services (SNS), information from the mass media immediately influences users on onl... [more] CS2021-24
pp.40-45
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-16
09:00
Online Online Throughput Analysis based on Energy Queueing Model for Wireless Powered Communication Networks with Constant Supplying Intervals
Atsuhiro Iwaki, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ.) NS2021-51
In the Wireless Powered Communication Networks (WPCNs), An Access Point (AP) supplies power to multiple stations (STAs) ... [more] NS2021-51
pp.94-99
CCS 2021-03-29
13:25
Online Online Neuromorphic Devices using Spatial Free Wiring of Conductive Polymer for Hardware Artificial Neural Networks
Emiliano Ali, Yoshiki Amemiya, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ.) CCS2020-22
Nanowires made of conductive polymer have a promising potential to be used in a wide range of applications in the electr... [more] CCS2020-22
pp.7-12
NC, MBE
(Joint)
2021-03-05
13:00
Online Online The Relation between Sensitivity and Maximum Lyapunov Exponent when Sensitivity Adjustment Learning is Applied to Layered Recurrent Neural Networks
Takuya Ejima, Yuuki Tokumaru, Kastunari Shibata (Oita Univ.) NC2020-69
We have proposed a local learning method named "sensitivity adjustment learning (SAL)". The sensitivity, which is adjust... [more] NC2020-69
pp.151-156
CAS, ICTSSL 2021-01-28
09:55
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
In this report,we discuss how to build differential equations and numerical approximations of a nonlinear field effect t... [more] CAS2020-39 ICTSSL2020-24
pp.7-10
CAS, ICTSSL 2021-01-29
10:10
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
Several methods for solving the asymmetric traveling salesman problem using chaotic neural networks is proposed by Tachi... [more] CAS2020-59 ICTSSL2020-44
pp.107-110
CAS, ICTSSL 2021-01-29
10:30
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
In this paper, we solve traveling salesman problems using genetic algorithm. The genetic algorithm is a heuristic method... [more] CAS2020-60 ICTSSL2020-45
pp.111-114
NC, NLP
(Joint)
2021-01-22
14:20
Online Online Contrast dependent spatial frequency tuning dynamics and its underlying neural mechanisms in the cat area 17
Kazuki Kohara, Seisiro Nitta, Hiroki Tanaka (Kyoto Sangyo Univ.) NC2020-40
In order to examine neural mechanisms to form spatial frequency (SF) tunings of area 17 neurons, we recorded extracellul... [more] NC2020-40
pp.45-48
IMQ 2020-12-18
10:05
Online Online Investigation of Relationship between cerebral blood flow and human preference during image viewing using deep learning
Yohei Ochiai, Shuhei Kishida, Koki Buyo, Yuya Okazaki, Yuuko Horita (Univ. of Toyama) IMQ2020-9
In recent years, the evaluation of Quality of Experience (QoE), which shows user experience quality, has attracted atten... [more] IMQ2020-9
pp.9-12
MSS, CAS, IPSJ-AL [detail] 2020-11-25
17:25
Online Online Data-Driven Optimal Reconstruction of Boolean Networks with Noisy Dynamics
Koichi Kobayashi (Hokkaido Univ.), Yuhu Wu (Dalian Univ. of Tech.) CAS2020-25 MSS2020-17
A Boolean network is a mathematical model that the dynamics are represented by Boolean functions. In this paper, a metho... [more] CAS2020-25 MSS2020-17
pp.34-39
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
10:15
Online Online Quantitative Evaluation of the Effects of Quarantine of Infected Person Using Mathematical Models of Infectious Diseases
Ayumi Manabe, Kazuya Sawada, Nanfu Miya, Tohru Ikeguchi (TUS) CAS2020-14 NLP2020-35
In 2020, COVID-19 has become a global pandemic and is still spreading.
One of the reason why COVID-19 spreads widely is... [more]
CAS2020-14 NLP2020-35
pp.15-20
IBISML 2020-10-21
11:05
Online Online IBISML2020-20 As complexity of robots and environments increases, analytically formulating their kinematics and dynamics becomes diffi... [more] IBISML2020-20
pp.37-38
IA 2020-10-01
16:25
Online Online [Poster Presentation] A Study on Topology Estimation from Observed Network Flows
Keita Kitaura, Ryotaro Matsuo (Kwansei Gakuin Univ.), Ryo Nakamura (Fukuoka Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2020-11
Acquisition and estimation of topologies of large-scale evolving networks
such as communication networks and social net... [more]
IA2020-11
p.31
IA 2020-10-01
16:25
Online Online [Poster Presentation] A Study on Flow-Level Network Simulator for Large-Scale Information-Centric Networks
Soma Yamamoto (Kwansei Gakuin Univ.), Ryo Nakamura (Fukuoka Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2020-13
In recent years, network architecture called ICN (Information-Centric Networking), which mainly focuses on contents tran... [more] IA2020-13
p.33
SR, NS, SeMI, RCC, RCS
(Joint)
2020-07-08
14:50
Online Online [Invited Talk] Dissipativity-Based Stability Analysis of Networked Nonlinear Descriptor Systems and Its Application to Power Grids
Chiaki Kojima (Toyama Prefectural Univ.) RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3
This paper pursues to construct a theoretical framework which can efficiently capture the dynamics of large-scale hetero... [more] RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3
pp.1-6(RCC), pp.1-6(NS), pp.49-54(RCS), pp.1-6(SR), pp.1-6(SeMI)
CCS 2020-03-26
11:25
Tokyo Hosei Univ. Ichigaya Campus
(Cancelled but technical report was issued)
Reservoir computing using fluid motion
Keita Kohashi, Masanobu Inubushi, Susumu Goto (Osaka Univ.) CCS2019-40
Reservoir computing (RC) is a machine learning method using nonlinear dynamical systems, which is effective for time-ser... [more] CCS2019-40
pp.25-27
 Results 41 - 60 of 257 [Previous]  /  [Next]  
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