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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, NLP | 2023-01-29 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo)  NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] | NLP2022-106 NC2022-90 pp.135-140 |
| EMT, IEE-EMT | 2022-11-18 13:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Lecture]
On Electromagnetic Field Simulation Using Physics-Informed Deep Learning Kazuhiro Fujita (Saitama IT) EMT2022-59 |
Physical laws appeared in the fields of physics and engineering can be described by partial differential equations in ma... [more] | EMT2022-59 pp.85-88 |
| VLD, HWS [detail] | 2022-03-07 15:05 |
Online | Online | Low-Energy and Fast Inference Method for Spiking Neural Networks Using Dynamic Threshold Adjustment Takehiro Habara, Hiromitsu Awano (Kyoto Univ.) VLD2021-87 HWS2021-64 |
Conventional SNNs have fixed thresholds that determine the possibility of neuron firing, resulting in degradation of inf... [more] | VLD2021-87 HWS2021-64 pp.57-62 |
| PRMU | 2021-12-16 16:45 |
Online | Online | Supervoxel-based Explanation for Action Recognition Ying Ji (Nagoya Univ.), Yu Wang (Ritsumeikan Univ.), Kensaku Mori (Nagoya Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2021-42 |
Deep neural network has shown remarkable performance in various areas, including image classification, action recognitio... [more] | PRMU2021-42 pp.98-100 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2021-03-26 11:00 |
Online | Online | An Estimation Method of a Defect Types for Suspected Fault Lines in Logical Faulty VLSI Using Neural Networks Natsuki Ota, Toshinori Hosokawa (Nihon Univ.), Koji Yamazaki (Meiji Univ.), Yukari Yamauchi, Masayuki Arai (Nihon Univ.) CPSY2020-61 DC2020-91 |
Since fault diagnosis methods for specified fault models might cause misprediction and non-prediction, a fault diagnosis... [more] | CPSY2020-61 DC2020-91 pp.67-72 |
| IA | 2020-10-01 11:15 |
Online | Online | Malicious URLs Detection Using an Integrated AI Framework Bo-Xiang Wang, Ren-Feng Deng, Yi-Wei Ma, Jiann-Liang Chen (NTUST) IA2020-1 |
Malicious attacks on computer networks are quite common, and the internet attacks are even more widespread, such as Malv... [more] | IA2020-1 pp.1-5 |
| SCE | 2020-01-17 13:15 |
Kanagawa | [Poster Presentation]
Investigation of logic gate using bi-directionally-coupled quantum flux parametron array Kohei Miyake, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2019-59 |
We study a bi-directionally-coupled quantum-flux-parametron (QFP) array as a new configuration method of a superconducti... [more] | SCE2019-59 pp.121-124 |
|
| QIT (2nd) |
2018-11-26 13:30 |
Tokyo | The University of Tokyo | [Poster Presentation]
Quantum Algorithm for Supervised Deep Learning Yasuhito Kawano (NTT), Hiroshi Sekigawa (TUS) |
The estimation problem of weights of a feed-forward neural network can be regarded as the problem of solving linear equa... [more] | |
| ICD | 2018-04-19 13:50 |
Tokyo | [Invited Talk]
Hard- and Soft- Synchronized Developments of Resistive Analog Neuro Devices and Systems Hiroyuki Akinaga, Hisashi Shima, Yasuhisa Naitoh (AIST), Tetsuya Asai (Hokkaido Univ.) ICD2018-5 |
Artificial Neural Network (ANN) System for Inference has attracted increasing attention. As widely known, Resistive Ana... [more] | ICD2018-5 p.15 |
|
| SC | 2017-06-02 14:20 |
Fukushima | University of Aizu(UBIC 3D) | A Neural Network Recommendation Approach for Improving Accuracy of Multi-criteria Collaborative Filtering Mohammed Hassan, Mohamed Hamada (Univ. of Aizu) SC2017-4 |
Recommender systems (RSs) are intelligent decision-making tools that exploit users? preferences and suggest items that m... [more] | SC2017-4 pp.17-20 |
| SANE | 2017-05-22 14:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Artificial Intelligence and EW Yoshio Kajiwara (FSI) SANE2017-9 |
Since around 2012, deep learning studies of learning by image using neural networks have been published, and Artificial ... [more] | SANE2017-9 p.43 |
| VLD | 2017-03-01 15:55 |
Okinawa | Okinawa Seinen Kaikan | A Design Technique for Approximate Circuits based on Artificial Neural Network Kazushi Kawamura, Masao Yanagisawa, Nozomu Togawa (Waseda Univ.) VLD2016-106 |
This paper proposes a design technique for approximate circuits based on artificial neural network, and then evaluates t... [more] | VLD2016-106 pp.25-30 |
| NLP | 2015-01-26 10:25 |
Oita | Compal Hall | A flooding sheme considering battery level in wireless sensor networks using chaotic neural networks Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-114 |
In this paper, efficient ooding schemes in wireless sensor networks are considered. Based on our previous scheme using... [more] |
NLP2014-114 pp.7-12 |
| IA | 2014-11-06 11:30 |
Overseas | Thailand | [Poster Presentation]
Vehicle Classification Using Geometric Pattern and A Neural Network for Toll way Pachara Siriborirak, Kosin Chamnongthai (King Mongkut Univ. of Tech.) IA2014-45 |
Processing in payment at toll takes time, and sometimes causes traffic congestion in the highway. To determine prices of... [more] | IA2014-45 p.63 |
| R | 2013-10-18 13:55 |
Fukuoka | A Neural Network Model for Forecasting Precipitation Extreme Junaida Sulaiman, Darwis Herdianti, Hideo Hirose (Kyushu Inst. of Tech.) R2013-65 |
Several days of precipitation can increase the magnitude of accumulated water in a basin. This can cause the lower area ... [more] | R2013-65 pp.7-12 |
|
| NLP | 2013-05-28 10:15 |
Fukuoka | Event hall, Central Library, Fukuoka University | An Efficient Flooding Scheme in Large-scale Wireless Sensor Networks Using Two-stage Optimization Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-21 |
In this paper, we propose a two-stage optimization method for the purpose of efficient flooding in wireless sensor netwo... [more] | NLP2013-21 pp.65-70 |
| R | 2012-10-19 15:00 |
Fukuoka | Seasonal Prediction of Climate in Malaysia using the Artificial Neural Networks Junaida Sulaiman, Hideo Hirose (Kyushu Inst. of Tech.) R2012-57 |
Heavy precipitation events generally have the highest impact in terms of flooding and economic losses. By using Artifici... [more] | R2012-57 pp.17-22 |
|
| EA, US (Joint) |
2009-01-30 10:10 |
Kyoto | Automatic Detection of Road Surface Conditions using Tire Noise from Vehicles Wuttiwat Kongrattanaprasert, Hideyuki Nomura, Tomoo Kamakura (Univ. of Electro-Comm.), Koji Ueda (Nagoya Electric) EA2008-125 |
This paper proposes a new method for automatically detecting the states of the road surface from tire noises of vehicles... [more] | EA2008-125 pp.55-60 |
|
| MBE | 2008-01-25 16:25 |
Fukuoka | Kyushu Univ. | [Poster Presentation]
The Artificial Neural Network by a Fuzzy Classification for Speckle Noise Removal in Medical Ultrasound Image Hyungseok Oh, Toshihiro Nishimura (Waseda Univ.) MBE2007-102 |
Medical ultrasound image is one of the major diagnostic tool in medical image. However, ultrasound images are degraded b... [more] | MBE2007-102 pp.91-94 |
| IE, ITE-BCT, ITE-ME, ITE-AIT | 2007-11-30 11:45 |
Saga | Saga University | The active artificial neural network by a neuro-fuzzy classification for speckle noise removal in medical ultrasound image Hyungseok Oh, Toshihiro Nishimura (Waseda Univ.) IE2007-104 |
Medical ultrasound image is one of the major diagnostic tool in medical image. However, ultrasound images are degraded b... [more] | IE2007-104 pp.79-82 |
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