Research keywords (4):
河川工学
, 防災工学
, 環境流体工学
, 数値流体力学
Research theme for competitive and other funds (5):
2018 - 2021 Accuracy improvement of vegetation dynamic sub-models using ALB-derived data and data assimilation
2016 - 2019 Improvement of riverbed and vegetation dynamics prediction model for strategic river management and its application to the field
2014 - 2017 Hydraulic study on river vegetation dynamics for efficient river management tasks
2007 - 2008 Numerical solver of river flows with secondary currents using new class of semi-structured mesh with waterline capturing technique
2005 - 数値流体計算と画像処理を併用した河川流の解析法の開発
Papers (153):
Hiroshi YAJIMA, Yo FUJII, Shogo SUGAHARA, Keisuke YOSHIDA. CLASSIFICATION OF PHYTOPLANKTON GROUPS USING A MULTI-WAVELENGTH EXCIATION FLUOROMETER WITH RANDOM FOREST. Japanese Journal of JSCE. 2024. 80. 16. 23-16032
Keisuke YOSHIDA, Shijun PAN, Takahiro YOKOYAMA, Yasushi YAMASHITA, Yuki UEDA, Hiroyuki SUGINO, Takashi KOJIMA. DEEP LEARNING OF UNDERWATER IMAGES AND TRAINING DATA CRITERIA FOR UNDERSTANDING FEEDING INJURY OF ACANTHOPAGRUS SCHLEGELII IN NORI SEAWEED FARMS. Japanese Journal of JSCE. 2024. 80. 16. 23-16150
Ryo FURUTANI, Keisuke YOSHIDA, Takumi OKADA, Yuki KAJIKAWA, Satoshi NISHIYAMA. NUMERICAL REPRODUCTION OF OVERTHROW OF BAMBOO FOREST AND WASHOUT OF WOODY VEGETATION DURING FLOODING USING ESTIMATION OF THREE-DIMENSIONAL PROFILE OF VEGETATION DRAG FORCE WITH AERIAL LASER DATA AND FLOOD SIMULATION. Japanese Journal of JSCE. 2024. 80. 16. 23-16161
Shijun PAN, Keisuke YOSHIDA, Satoshi NISHIYAMA. Detection and Segmentation of Riparian Asphalt Paved Cracks Using Drone and Computer Vision Algorithms. Intelligence, Informatics and Infrastructure. 2023. 4. 2. 35-49
Shijun PAN, Keisuke YOSHIDA, Takashi KOJIMA. Application of the Prompt Engineering-assisted Generative AI for the Drone-based Riparian Waste Detection. Intelligence, Informatics and Infrastructure. 2023. 4. 2. 50-59
Shiro MAENO, Keisuke YOSHIDA, Graduate School of Environmental and Life Science Okayama University, Graduate School of Environmental and Life Science Okayama University. River Flow and Vegetation Dynamics(<Special Review>Habitats and Fluid Dynamics). 2014. 33. 4. 349-354
Lectures and oral presentations (63):
Crack Detection in Asphalt-Paved Top Surface of River Embankments Using Unmanned Aerial Vehicles and Computer Vision Algorithms
(2023)
Assessing performance of a novel UAV-borne green LiDAR on vegetated rivers characterization: comparison with traditional airborne LiDAR bathymetry
(9th Int. Symp. on Environmental Hydraulics 2021 2021)
2022/12 - Japan Society of Civil Engineers Intelligence, Informatics and Infrastructure Outstanding Potential Paper Award Drone-LiDAR-assisted Image Fusion methodology for Deep Learning-based Land Cover Classification