Session Details

[S32]Deep Learning/AI

Wed. Dec 4, 2024 1:45 PM - 3:45 PM JST
Wed. Dec 4, 2024 4:45 AM - 6:45 AM UTC
Room1(Hall)
Chair1:MASAYUKI HITOKOTO Chair2:RYO KANEKO

[184]FUNDAMENTAL RESEARCH ON PRECIPITATION FORECASTING USING CONVOLUTIONAL LSTM

*Katsuya TAKEUCHI1, Yoshifumi FUJIMORI2, Ryo MORIWAKI3 (1. 日本工営株式会社、2. 愛媛大学 理工学専攻 環境建設工学講座、3. 愛媛大学 理工学専攻 環境建設工学講座)

[185]RECONSTRUCTING RANKINE VORTICES FROM DOPPLER WIND DATA USING DEEP-LEARNING-BASED GENERATIVE MODELS

*Keitaro INUKI1, Ryo KANEKO2, Atsushi OKAZAKI3, Shunji KOTSUKI4 (1. 千葉大学 工学部 総合工学科、2. 千葉大学 環境リモートセンシング研究センター、3. 千葉大学 国際高等研究基幹、4. 千葉大学 国際高等研究基幹)

[186]APPLICABILITY OF DETECTING SURFACE WEATHER FRONTS USING CONVOLUTIONAL NEURAL NETWORK BASED DEEP LERANING

*Yiwen MAO1, Tomohito J. YAMADA2 (1. Graduate School. of Eng., Hokkaido University、2. Faculty of Eng., Hokkaido University)

[187]HYDROLOGICAL FORECASTING TESTS ON NEURAL NETWORK MODELS CONSIDERING INPUT VARIABLE SELECTION AND DATA QUALITY

*Sunmin KIM1, Yuma TANAKA2, Yasuto TACHIKAWA3 (1. Dept. of Civil and Earth Resources Eng., Kyoto University、2. Dept. of Intelligence Science and Technology, Kyoto University、3. Dept. of Civil and Earth Resources Eng., Kyoto University)

[188]SPATIALLY EXPLICIT MACHINE LEARNING MODEL FOR FLOOD INUNDATION AUGMENTED WITH HYDRODYNAMIC MODELING

*Kexin LIU1, Ryosuke AKOH2, Tomoki TAKUNO3, Tatsuki YAMAMOTO3, Shiro MAENO4 (1. Graduate School of Environmental, Life, Natural Science and Technology, Okayama University、2. Institute of Academic Research, Okayama University、3. Graduate School of Life, Natural Science and Technology, Environmental and Life Sciences, Okayama University、4. Institute of Academic Research, Okayama University)

[189]APPLICATION OF PHYSICS-INFORMED NEURAL NETWORKS (PINN) COUPLED WITH ONE-DIMENSIONAL UNSTEADY FLOW SIMULATION TO OPEN CHANNEL FLOW

*Nobuaki KIMURA1, Hiroki MINAKAWA2, Masaomi KIMURA3, Yudai FUKUSHIGE2, Ikuo YOSHINAGA2 (1. 農研機構 農村工学研究部門、2. 農研機構 農村工学研究部門、3. 近畿大学 農学部)

[190]STUDY ON THE SURVEY OF RIVER SPACE UTILIZATION USING A RIVER MONITORING CAMERA, OBJECT DETECTION, AND A LARGE-SCALE MULTIMODAL MODEL

*Yuki YAMADA1, Keisuke YOSHIDA2, Shijun PAN3, Takashi KOJIMA4 (1. 岡山大学大学院 環境生命自然科学研究科、2. 岡山大学 学術研究院環境生命自然科学学域、3. 岡山大学大学院 環境生命科学研究科、4. 株式会社東京建設コンサルタント 環境防災研究所)

General discussion