Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zujie Zhang"'
Autor:
Zujie Zhang
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract The labor market in Southeast Asia has several complicated issues, including the quick changes in the economy, the various behaviors of employees, and the shifting regulatory settings. To foster sustainable regional development and make deci
Externí odkaz:
https://doaj.org/article/a5d3085cb7e34553aa2bae9111b15192
Publikováno v:
PLoS ONE, Vol 18, Iss 7, p e0288866 (2023)
A country's industrial structure plays a pivotal role in determining its competitiveness, growth, and sustainability. Recently, many Asian countries have experienced significant economic upgradation and transformation and have emerged as major player
Externí odkaz:
https://doaj.org/article/12d63c66278141d9a9f36cd6258a8f40
Autor:
Takashi Bando, Kazushi Ikeda, Kentarou Hitomi, Ryunosuke Hamada, Zujie Zhang, Masumi Egawa, Tomohiro Shibata, Takatomi Kubo
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 1:131-138
To develop a new generation advanced driver assistance system that avoids a dangerous condition in advance, we need to predict driving behaviors. Since a nonparametric Bayesian method with a two-level structure successfully predicted the symbolized b
Autor:
Takashi Bando, Zujie Zhang, Kentarou Hitomi, Kazushi Ikeda, Tomohiro Shibata, Takatomi Kubo, Masumi Egawa, Jin Watanabe
Publikováno v:
2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
We propose a classification method based on a binary Gaussian process classifier to classify novice and experienced drivers using eye gaze that can reflect drivers' attention and skill. Gaze behavior during lane changing task were collected from both
Autor:
Masumi Egawa, Takatomi Kubo, Takashi Bando, Kentarou Hitomi, Ryunosuke Hamada, Kazushi Ikeda, Zujie Zhang
Publikováno v:
ITSC
Prediction of driving behavior has been regarded as one of the important issue to realize the next generation of advanced driver assistance systems. However, prediction of driving behaviors is also difficult issue, because the distribution of each dr
Publikováno v:
APSIPA
Prediction of driving behaviors is an important problem in developing a next-generation driving support system. In order to take diverse driving situations into account, it is necessary to model multiple driving operation time series data. In this st
Autor:
Ryunosuke Hamada, Tomohiro Shibata, Takatomi Kubo, Masumi Egawa, Kazushi Ikeda, Takashi Bando, Zujie Zhang
Publikováno v:
ICASSP
Prediction of driving behaviors is important problem in developing the next-generation driving support system. In order to take account of diverse driving situations, it is necessary to deal with multiple time series data considering commonalities an
Autor:
Takashi Kariya-city Bandou, Yuta Inoue, Zujie Zhang, Takayuki Miyahara, Tomohiro Shibata, Kazushi Ikeda
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783642338045
This paper proposed a causal discovery method for driving behavior signals representing explicit driving actions to gain a better understanding in driving actions and to apply them to improve advanced driver assistance systems. The first- and second-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c60929194a9db625020d62f4559b2a65
https://doi.org/10.1007/978-3-642-33805-2_42
https://doi.org/10.1007/978-3-642-33805-2_42