Fukushige Yudai

フクシゲユウダイ | Fukushige Yudai

Affiliation and department：

Research field (1)： Hydroengineering

Research theme for competitive and other funds (2)：

Papers (12)：

KIMURA Nobuaki, MINAKAWA Hiroki, FUKUSHIGE Yudai, YOSHINAGA Ikuo, BABA Daichi. EXAMINATION OF IMPROVING FLOOD PREDICTION ACCURACY USING A TIMESNET MODEL. Advances in River Engineering. 2024. 30. 611-616
Nobuaki KIMURA, Hiroki MINAKAWA, Yudai FUKUSHIGE, Ikuo YOSHINAGA, Daichi BABA. ベイズ推定の代替手法を用いた不確実性を可視化する排水機場遊水池のLSTM水位予測モデル. Japanese Journal of JSCE. 2024. 80. 22. n/a-n/a
Nobuaki KIMURA, Hiroki MINAKAWA, Yudai FUKUSHIGE, Daichi BABA. CREATION AND VERIFICATION OF A PRETRAINED MODEL FOR RIVER FLOOD PREDICTIONS. Japanese Journal of JSCE. 2024. 80. 16. n/a-n/a
Nobuaki Kimura, Hiroki Minakawa, Masaomi Kimura, Yudai Fukushige, Daichi Baba. Examining practical applications of a neural network model coupled with a physical model and transfer learning for predicting an unprecedented flood at a lowland drainage pumping station. Paddy and Water Environment. 2023
KIMURA Nobuaki, MINAKAWA Hiroki, FUKUSHIGE Yudai, YOSHINAGA Ikuo, BABA Daichi. A sophisticated model for riverine-flood predictions using convolutional LSTM and transfer learning. Artificial Intelligence and Data Science. 2023. 4. 3. 361-368

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MISC (10)：

Kimura, N, Minakawa, H, Fukushige, Y, Baba, D. Generating an AI pretrained model for flood predictions using transfer learning. Advances in River Engineering. 2023. 29. 79-84
中田達, 島崎昌彦, 福重雄大, 吉瀬弘人, 吉永育生. 画像解析を用いたゲート開度監視システムの実用化に向けて-Toward the Practical Application of Gate Opening Monitoring System with Image Analysis-小特集データ駆動型社会の実現に向け加速するICT・解析技術. 水土の知 : 農業土木学会誌, journal of Japanese Society of Irrigation, Drainage and Reclamation Engineering / 農業農村工学会編. 2023. 91. 6. 377-380
A Simplified Method to Estimate Inundation Hazard Areas Using Digital Elevation Models for Constructing a Water Level Database. 2023. 35. 19-28
福重雄大, 皆川裕樹, 吉永育生, 安瀬地一作. Development of hydraulic model to support operation of agricultural water facilities during heavy rainfall. 農業農村工学会大会講演会講演要旨集(CD-ROM). 2023. 2023
木村延明, 皆川裕樹, 福重雄大, 馬場大地. Assessment of an AI pretrained model created for flood prediction using transfer learning. 農業農村工学会大会講演会講演要旨集(CD-ROM). 2023. 2023

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Lectures and oral presentations (10)：

転移学習を用いた河川洪水イベントの事前学習モデルの構築と検証
(2023年度(第72回)農業農村工学会大会講演会 2023)
水撃圧波形を利用したパイプライン漏水検知手法の現場適用技術の開発-前後移動平均差法について-
(2023年度(第72回)農業農村工学会大会講演会 2023)
豪雨時の農業水利施設操作支援に向けた水理モデルの構築
(2023年度(第72回)農業農村工学会大会講演会 2023)
A Flood Simulation Model Considering the Irrigation-Drainage Facilities
(2022)
DEM を用いた豪雨時の浸水状況把握に資する水位データベースの作成
(2022年度(第71回)農業農村工学会大会講演会 2022)

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Education (1)：

Work history (2)：

2021/04 - 現在 National Agriculture and Food Research Organization Institute for Rural Engineering, NARO
2019/04 - 2021/03 National Agriculture and Food Research Organization Institute for Rural Engineering, NARO

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