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pro vyhledávání: '"Yohei Koga"'
Autor:
Tan Zi Yi, Kazuya Shide, Hirotake Kanisawa, Naoto Mine, Kazuki Otsu, Yohei Koga, Shunsuke Someya
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 22, Iss 6, Pp 3583-3597 (2023)
Safety is a top priority in the construction industry; therefore, safety training is essential to prevent construction casualties as the employment of foreign and young workers on construction sites worldwide increases. More studies are necessary to
Externí odkaz:
https://doaj.org/article/29831bc84364481eae58843ebab10577
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1068 (2020)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://doaj.org/article/ce716855a62c4fbf9990d11a1bb90c9e
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 575 (2020)
Recently, object detectors based on deep learning have become widely used for vehicle detection and contributed to drastic improvement in performance measures. However, deep learning requires much training data, and detection performance notably degr
Externí odkaz:
https://doaj.org/article/43ae645d06fc4f7aa76f430a4a9018db
Publikováno v:
Remote Sensing, Vol 10, Iss 1, p 124 (2018)
Recently, deep learning techniques have had a practical role in vehicle detection. While much effort has been spent on applying deep learning to vehicle detection, the effective use of training data has not been thoroughly studied, although it has gr
Externí odkaz:
https://doaj.org/article/15f5ad8ecf054573b3e075ed10ba63e3
Publikováno v:
Advances in Space Research. 71:4549-4556
Publikováno v:
IGARSS
While recent advancement of domain adaptation techniques is significant, most of methods only align a feature extractor and do not adapt a classifier to target domain, which would be a cause of performance degradation. We propose novel domain adaptat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44f32cfc2da136dbcbc41d399958e7bc
http://arxiv.org/abs/2107.02411
http://arxiv.org/abs/2107.02411
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 575 (2020)
Remote Sensing
Volume 12
Issue 3
Pages: 575
Remote Sensing
Volume 12
Issue 3
Pages: 575
Recently, object detectors based on deep learning have become widely used for vehicle detection and contributed to drastic improvement in performance measures. However, deep learning requires much training data, and detection performance notably degr
Autor:
Yohei Koga, Manabu Kai
Publikováno v:
2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC).
In a recent couple of years, the smart meter system is installed at each home, factory and company. The smart meter system has Route A and B for data collection and visualization of power consumption. Route A is indispensable, Route B is option funct
Publikováno v:
Bioorganic & Medicinal Chemistry. 24:1308-1313
Recent studies indicate that oxidative damage to RNA results in dysfunction of translation and eventual pathogenesis. A representative oxidized base in RNA is 8-hydroxyguanosine (8-oxo-rG), however, unlike its DNA counterpart (8-oxo-dG), its role in
Autor:
Yohei Koga, Manabu Kai
Publikováno v:
2018 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC).
Wireless sensor devices are placed at various locations to suit each IoT application. In this study, we present a new transparent antenna for IoT applications. The proposed antenna has two advantages for wireless sensors. The first advantage is excel