Rchr
J-GLOBAL ID：201301053586504840
Update date: Jul. 14, 2024
Hirose Nozomu
ヒロセ ノゾム | Hirose Nozomu
Affiliation and department：
Research field (2)：
Hydroengineering
, Structural and seismic engineering
Research theme for competitive and other funds (4)：
- 2023 - 2026 衛星データ同化による海塩粒子の広域予測結果に基づく海塩生成メカニズムの逆推定
- 2020 - 2023 High accuracy enhancement with pseudo data assimilation of sea salt aerosol concentration for estimation of sea salt deposition on structures
- 2015 - 2019 Estimation of sea salt adhesion to each structural member of a bridge by combining the numerical experiments on different spatial scales of predicting sea salt transport
- 2014 - 2018 Estimation of cloud bottom height using satellite observation and its application to satellite data assimilation technique
Papers (29)：
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GOBARA Tatsuya, OHYA Makoto, TAKEBE Masamichi, HIROSE Nozomu. A study on application Vision Transformer to surface preparation determination for weathering steel bridge. Artificial Intelligence and Data Science. 2023. 4. 3. 20-25
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Tatsuya GOBARA, Makoto Ohya, Nozomu Hirose, Masamichi Takebe. AUTOMATED PREPARATION GRADE JUDGEMENT SYSTEM FOR WEATHERING STEEL BRIDGES BY DEEP LEARNING. Proceedings of International Structural Engineering and Construction. 2022. 9. 1
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Tatsuya GOBARA, Makoto Ohya, Nozomu Hirose, Masamichi Takebe. AUTOMATED PREPARATION GRADE JUDGEMENT SYSTEM FOR WEATHERING STEEL BRIDGES BY DEEP LEARNING. Proceedings of International Structural Engineering and Construction. 2022. 9. 1
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KODAKI Hatsune, GOBARA Tatsuya, OHYA Makoto, TAKEBE Masamichi, HIROSE Nozomu. GENERATION OF SURFACE PREPARATION IMAGES FOR WEATHERING STEEL BRIDGES USING GENERATIVE ADVERSARIAL NETWORKS. Intelligence, Informatics and Infrastructure. 2022. 3. J2. 287-292
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GOBARA Tatsuya, OHYA Makoto, TAKEBE Masamichi, HIROSE Nozomu. A STUDY ON APPLICATION OF DEEP LEARNING TO SURFACE PREPARATION DETERMINATION FOR WEATHERING STEEL BRIDGES. Intelligence, Informatics and Infrastructure. 2022. 3. J2. 248-254
ｍore...
MISC (80)：
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広瀬望, 大谷健翔, 大屋誠, 武邊勝道. Study on the multiple data comparison for satellite data assimilation approaches for the prediction of sea salt particles transportation. 日本リモートセンシング学会学術講演会論文集(CD-ROM). 2023. 75th
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青山直樹, 武邊勝道, 広瀬望, 丸本幸治. Fluctuation of the mercury content in rain water in Matsue and Minamata. 土木学会全国大会年次学術講演会(Web). 2022. 77th
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広瀬望, 大屋誠, 武邊勝道. Improvement of the prediction accuracy of sea salt spray transport based on some field data ant the satellite-based observations. 土木学会全国大会年次学術講演会(Web). 2022. 77th
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河原達哉, 大屋誠, 武邊勝道, 広瀬望. Possibility of detecting bias in Surface Preparation for Steel Structure Using Judgement Support System. 土木学会全国大会年次学術講演会(Web). 2022. 77th
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小瀧初音, 河原達哉, 大屋誠, 武邊勝道, 広瀬望. Teaching Image Generation and Evaluation for Preparation Grade Judgement Support System. 土木学会全国大会年次学術講演会(Web). 2022. 77th
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Lectures and oral presentations (3)：
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東アジアにおけるマイクロ波領域の陸面放射率推定の検討
(日本リモートセンシング学会第64回学術講演会 2018)
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校内環境モニタリングと環境教育への活用
(理科教育学会中国支部大会 2018)
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数のデータを用いたマイクロ波領域における陸面放射率の推定のための基礎的検討
(日本リモートセンシング学会第64回学術講演会 2018)
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