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Tsukasa Kudo

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Journal Articles

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2019
[j1]
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Tsukasa Kudo:
Fog computing with original data reference function. Int. J. Grid Util. Comput. 10(5): 574-582 (2019)

Conference and Workshop Papers

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2022
[c8]
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Tsukasa Kudo, Takehiro Yamamoto, Tomoki Watanabe:
Three-Step Master Data Creation Method from Big Data: Scraping, Semi-Structuring, and Extraction. KES 2022: 360-369
2021
[c7]
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Tsukasa Kudo:
Application Method of Deep Learning Model Trained with CG Images to Real Images. KES 2021: 1484-1493
2020
[c6]
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Tsukasa Kudo:
A Proposal for Article Management Method Using Wearable Camera. KES 2020: 1338-1347
2019
[c5]
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Tsukasa Kudo:
Data Correction Management Method Using Temporal Data in Fog Computing. ICMU 2019: 1-4
[c4]
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Tsukasa Kudo, Ren Takimoto:
CG Utilization for Creation of Regression Model Training Data in Deep Learning. KES 2019: 832-841
2018
[c3]
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Tsukasa Kudo:
Fog Computing with Distributed Database. AINA 2018: 623-630
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Tenma Kawanaka, Tsukasa Kudo:
Inventory Satisfaction Discrimination Method Utilizing Images and Deep Learning. KES 2018: 937-946
2016
[c1]
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  - conf/pimrc/HattoriK16
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Tetsunori Hattori, Tsukasa Kudo:
Propagation experiment on millimeter wave for high-speed rail trains. PIMRC 2016: 1-6

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