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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2022-03-04
10:35
Online Online Learning support system by problem posing and classifying for permutations and combinations
Okuma Ryuki, Tomoto Takahito (Tokyo Polytechnic Univ.) ET2021-55
When learning of the permutations and combinations in mathematics, there are learners who can solve a problem sentence b... [more] ET2021-55
pp.25-30
MW
(2nd)
2020-05-13
- 2020-05-15
Overseas CU, Bangkok, Thailand
(Postponed)
Watermelon Meter for Classifying Mature Fruit
Kassana Kuchakorn, Chonlada Phopirom, Paiboon Yoiyod (RSU)
This paper presents watermelon meter for classifying quality watermelon fruit with microwave technique. The watermelon m... [more]
SR 2019-01-24
16:35
Fukushima Corasse, Fukushima city (Fukushima prefecture) Highly Accurate Estimation of Radio Propagation using Model Classifier
Keita Katagiri, Keita Onose (UEC), Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-108
A Measurement-based Spectrum Database (MSD) attracts attention as highly accurate radio environment recognition. In the ... [more] SR2018-108
pp.79-84
MI 2012-01-20
11:25
Okinawa   A study on automated anatomical labeling to abdominal arteries in 3D abdominal CT images by using multil-class AdaBoost -- Improvement of classifiers of the artery names --
Bui Huy Hoang, Masahiro Oda, Yukitaka Nimura (Meidai), Takayuki Kitasaka (Aichi Institute of Technology), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Meidai) MI2011-148
We have developed an automated anatomical labeling method for the abdominal arteries to support understanding of the str... [more] MI2011-148
pp.395-400
IN 2007-12-14
13:55
Hiroshima Hiroshima City University Classifying Network Anomaly Events Using the Occurence Probability of Correlation Coefficients
Hiroaki Meguro, Yuji Waizumi, Hiroshi Tsunoda, Yoshiaki Nemoto (Tohoku Univ) IN2007-115
For taking effective countermeasures against network anomaly events,the classification of detected anomaly events is req... [more] IN2007-115
pp.97-102
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