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All Technical Committee Conferences  (Searched in: All Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 131  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP
(Joint)
2025-01-29
09:30
Osaka   The Neural Network Model of Cerebellum-Cerebrum connection
Taishiro Chiba, Kajimoto Shotaro, Hirokazu Tanaka (TCU)
 [more]
NC, NLP
(Joint)
2025-01-29
09:55
Osaka   Model Reduction of Recurrent Neural Networks using Dynamical Methods
Shotaro Kajimoto, Taishiro Chiba, Hirokazu Tanaka (TCU)
 [more]
SIS 2024-12-05
14:40
Osaka Osaka Electro-Communication University
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] Artificial Intelligence on Edge Computing for Object Recognition Applications
Nico Surantha (TCU) SIS2024-35
The rapid growth of the Internet of Things (IoT) and smart devices has led to an increasing demand for real-time data pr... [more] SIS2024-35
pp.25-30
PN 2024-11-19
14:45
Oita
(Primary: On-site, Secondary: Online)
Root Cause Analysis of Failures in Communication Services Provided over Optical Transport Networks
Kohei Shiomoto (TCU) PN2024-35
Telecom carriers construct nation-wide network systems consisting of IP networks on top of optical transport networks, a... [more] PN2024-35
pp.41-48
NLP 2024-09-05
10:30
Gifu Takayama City Library Dependence of green light photoplethysmogram dynamical properties extraction on the time series length.
Sora Okazaki, Nina Sviridova (TCU) NLP2024-41
Photoplethysmogram (PPG) is pulse wave data obtained by projecting infrared, red, or green light to capture the volume c... [more] NLP2024-41
pp.1-5
PN 2024-08-26
11:20
Hokkaido
(Primary: On-site, Secondary: Online)
Research Trends on Massively Parallel Computing Infrastructure for Deep Learning
Kohei Shiomoto (TCU) PN2024-17
In recent years, data centers have built large-scale GPU clusters consisting of thousands of GPUs for deep learning. Whi... [more] PN2024-17
pp.21-28
AP
(2nd)
2024-08-05
15:15
Tokyo Chichijima Approximate Evaluation of the Transmission Phase in Microstrip Line Bends Based on Geometric Shape -- Optimal Shape for Arbitrary Bend Angles and Phase Change Due to Bending --
Yutaka Mimino, Takuichi Hirano (TCU), Naoya Okamoto, Shiro Ozaki, Naoki Hara (Fujitsu)
We derived an approximate formula that provides the shape and phase change amount that minimizes the reflection loss for... [more]
IN, CCS
(Joint)
2024-07-30
11:35
Hokkaido Moerenuma Park Glass Pyramid Insights on the Success Factors of Image Recognition Models Using Reapplication Techniques
Sora Togawa, Kenya Jin'no (TCU) CCS2024-38
 [more] CCS2024-38
pp.52-55
NLP, CCS 2024-06-07
11:20
Fukuoka West Japan General Exhibition Center AIM Development of a processing hardware for a swarm intelligence algorithm based on spiking neural-oscillator networks
Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2024-33 CCS2024-20
Optimizer based on Spikin Neural-oscillator Networks (OSNNs) is one of the deterministic swarm intelligence algorithms. ... [more] NLP2024-33 CCS2024-20
pp.84-89
NS, PN, OCS
(Joint)
2024-06-07
09:25
Nagasaki
(Primary: On-site, Secondary: Online)
Implementation of NVMe over TCP using SPDK and Its Performance Measurement
Tatsuki Oyama, Kohei Shiomoto (TCU) PN2024-12
Generative artificial intelligence has attracted a great deal of attention in recent years, and there is an emerging nee... [more] PN2024-12
pp.28-35
CAS, CS 2024-03-14
14:25
Okinawa   [Special Invited Talk] Indoor positioning system using RSSI and machine learning
Tsugumichi Shibata (TCU) CAS2023-120 CS2023-113
Tokyo City University changed its name from the former Musashi Institute of Technology in 2009, and has been promoting f... [more] CAS2023-120 CS2023-113
pp.53-57
NLP, MSS 2024-03-13
10:00
Misc. Kikai-Shinko-Kaikan Bldg. A Study on the Relationship Between Language Model Structure and Complexity of Training Data
Wataru Nakano, Jinno Kenya (TCU) MSS2023-70 NLP2023-122
 [more] MSS2023-70 NLP2023-122
pp.1-4
NLP, MSS 2024-03-13
16:05
Misc. Kikai-Shinko-Kaikan Bldg. Effectiveness and Validation of Feature Scaling in Image Classification Tasks Using CNN
Hiroki Tamegai, Kenya Jinno (TCU) MSS2023-81 NLP2023-133
In image classification tasks, features are extracted using neural networks and learning is performed by calculating the... [more] MSS2023-81 NLP2023-133
pp.54-57
SS 2024-03-07
15:25
Okinawa
(Primary: On-site, Secondary: Online)
SS2023-57 While code review plays a crucial role in enhancing software quality, it remains time-consuming. Over the years, various... [more] SS2023-57
pp.49-54
SS 2024-03-08
09:55
Okinawa
(Primary: On-site, Secondary: Online)
SS2023-64 Dockerfile development projects usually support various base images, architectures, or versions of services. Depending o... [more] SS2023-64
pp.91-96
SS 2024-03-08
16:30
Okinawa
(Primary: On-site, Secondary: Online)
SS2023-75 (To be available after the conference date) [more] SS2023-75
pp.156-161
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
10:30
Tokushima Naruto University of Education Estimation of Determinism for Imaging Photoplethysmogram
Ayane Mine, Nina Sviridova (TCU) NLP2023-86 MICT2023-41 MBE2023-32
Photoplethysmography is a method of acquiring biological information by irradiating light onto the fingertip and measuri... [more] NLP2023-86 MICT2023-41 MBE2023-32
pp.16-20
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
10:50
Tokushima Naruto University of Education The Effect of Data Reduction on Determinism in Imaging Photoplethysmography
Kodai Koga, Sviridova Nina (TCU) NLP2023-87 MICT2023-42 MBE2023-33
Photoplethysmogram is pulse wave data obtained by projecting light onto the skin and measuring its reflection. It is use... [more] NLP2023-87 MICT2023-42 MBE2023-33
pp.21-25
KBSE 2024-01-24
09:10
Kagoshima
(Primary: On-site, Secondary: Online)
Datetime Feature Recommendation System by Using Data Column Names
Satoshi Masuda, Tomohiro Takeda (TCU) KBSE2023-58
Analysis to gain new knowledge from huge amounts of data is called data science, and its widespread use is now socially ... [more] KBSE2023-58
pp.43-48
CCS 2023-11-12
10:25
Toyama Toyama Prefectural University Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks
Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2023-34
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] CCS2023-34
pp.53-57
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