Presentations -
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機械学習に基づくデータ拡張によるPIVの精度向上
森本 将生，深見 開，長谷川 一登，村田 高彬，村上 光，深潟 康二
[Domestic presentation] 第33回数値流体力学シンポジウム,
2019.11,Oral presentation (general)
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Space-time recovery of high-resolution turbulent flow fields with machine learning based super resolution
K. Fukami, K. Fukagata, and K. Taira
72nd Annual Meeting of the APS Division of Fluid Dynamics,
2019.11,Oral presentation (general)
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Flow control and machine learning studies at Keio Fukagata Lab
K. Fukagata
[International presentation] Informal Seminar, University of Southern California, CA, USA,
2019.11,Public lecture, seminar, tutorial, course, or other speech
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Flow control and machine learning studies at Keio Fukagata Lab
K. Fukagata
[International presentation] Mechanical and Aerospace Engineering Department Seminars, Thermo Fluids Series, UCLA, CA, USA,
2019.11,Public lecture, seminar, tutorial, course, or other speech
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3次元チャネル乱流における機械学習超解像解析
深見 開，深潟 康二，平 邦彦
[Domestic presentation] 日本機械学会第97期流体工学部門講演会,
2019.11,Poster presentation
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乱流の機械学習における最近の動向
深潟 康二
[Domestic presentation] 日本流体力学会年会2019,
2019.09,Oral presentation (invited, special)
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2次元流れへの機械学習超解像の応用
深見 開，深潟 康二，平 邦彦
[Domestic presentation] 日本流体力学会年会2019,
2019.09,Oral presentation (general)
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Turbulent friction drag reduction: From feedback to predetermined, and feedback again
K. Fukagata
[International presentation] 5th Symposium on Fluid-Structure-Sound Interactions and Control (FSSIC2019),
2019.08,Oral presentation (keynote)
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乱流の制御と機械学習
深潟 康二
[Domestic presentation] 流体若手夏の学校2019,
2019.08,Public lecture, seminar, tutorial, course, or other speech
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Super-resolution analysis with machine learning for low-resolution flow data
K. Fukami, K. Fukagata, and K. Taira
11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11),
2019.07,Oral presentation (general)
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Data-driven reduced order modeling of flows around two-dimensional bluff bodies of various shapes
K. Hasegawa, K. Fukami, T. Murata, and K. Fukagata
[International presentation] The ASME-JSME-KSME Joint Fluids Engineering Conference 2019 (AJKFLUIDS2019) (San Francisco) ,
2019.07,Oral presentation (general)
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Resolvent analysis of turbulent friction drag reduction by manipulation of mean velocity profile
R. Uekusa, A. Kawagoe, Y. Nabae, and K. Fukagata
[International presentation] The ASME-JSME-KSME Joint Fluids Engineering Conference 2019 (AJKFLUIDS2019) (San Francisco) ,
2019.07,Oral presentation (general)
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Parametric study for optimization of blowing and suction locations for improving lift-to-drag ratio on a Clark-Y airfoil
M. Ohashi, Y. Morita, S. Hirokawa, K. Fukagata, and N. Tokugawa
[International presentation] The ASME-JSME-KSME Joint Fluids Engineering Conference 2019 (AJKFLUIDS2019) (San Francisco) ,
2019.07,Oral presentation (general)
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Experimental study on suppression of vortex shedding behind a square cylinder using opposed-type plasma actuators
A. Nakazawa, T. Yonemichi, and K. Fukagata
[International presentation] The ASME-JSME-KSME Joint Fluids Engineering Conference 2019 (AJKFLUIDS2019) (San Francisco) ,
2019.07,Oral presentation (general)
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CNN-SINDy based reduced order modeling of unsteady flow fields
T. Murata, K. Fukami, and K. Fukagata
[International presentation] The ASME-JSME-KSME Joint Fluids Engineering Conference 2019 (AJKFLUIDS2019) (San Francisco) ,
2019.07,Oral presentation (general)
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Experimental investigations on friction drag reduction on an airfoil by passive blowing
S. Hirokawa, K. Eto, K. Fukagata, and N. Tokugawa
[International presentation] The ASME-JSME-KSME Joint Fluids Engineering Conference 2019 (AJKFLUIDS2019) (San Francisco) ,
2019.07,Oral presentation (general)
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畳み込みニューラルネットワークを用いた流れ場の回帰
深潟 康二
[Domestic presentation] 第47回可視化情報シンポジウム,
2019.07,Oral presentation (invited, special)
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乱流解析への機械学習の応用
深潟 康二
[Domestic presentation] 第65回理論応用力学講演会・第22回土木学会応用力学シンポジウム,
2019.06,Oral presentation (invited, special)
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乱流および非定常層流の機械学習
深潟 康二
[Domestic presentation] 大阪大学 数理・データ科学セミナー 数理モデルセミナーシリーズ 第21回,
2019.05,Oral presentation (invited, special)
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乱流シミュレーションの基礎（＋乱流制御，機械学習）
深潟 康二
COMSOL Days 流体セミナー（第2回）,
2019.05,Public lecture, seminar, tutorial, course, or other speech