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
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Papers (155):
Shijun PAN, Keisuke YOSHIDA, Yuki YAMADA, Takashi KOJIMA. Trials of Night-Time 4K-Camera-based Human Action Recognition in Riverine Environments with Multimodal and Object Detection Technologies. Intelligence, Informatics and Infrastructure. 2024. 5. 1. 89-97
Shijun PAN, Keisuke YOSHIDA, Daichi SHIMOE, Takashi KOJIMA, Satoshi NISHIYAMA. Generating 3D Models for UAV-Based Detection of Riparian PET Plastic Bottle Waste: Integrating Local Social Media and InstantMesh. Drones. 2024. 8. 9. 471
Keisuke Yoshida, Hiroshi Yajima, Md. Touhidul Islam, Shijun Pan. Assessment of spawning habitat suitability for Amphidromous Ayu (Plecoglossus altivelis) in tidal Asahi River sections in Japan: Implications for conservation and restoration. River Research and Applications. 2024. 40. 8. 1497-1511
Shijun PAN, Keisuke YOSHIDA, Yuki YAMADA, Takashi KOJIMA. Monitoring Human Activities in Riverine Space using 4K Camera Images with YOLOv8 and LLaVA: A Case Study from Ichinoarate in the Asahi River. Intelligence, Informatics and Infrastructure. 2024. 5. 89-97
Shijun PAN, Keisuke YOSHIDA, Takashi KOJIMA. Comprehensive Analysis of On-Site Riparian Waste Pollution: A Case Study on the Hyakken River Basin. Intelligence, Informatics and Infrastructure. 2024. 5. 98-103
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
Evaluation of Segment Anything Model for Riparian Land Cover Classification from Aerial Imagery
(15th International Conference on Hydroinformatics 2024)
Utilizing Smartphone-derived Photogrammetry 3D Model for AI-based Riparian Crack Segmentation and Measurement
(15th International Conference on Hydroinformatics 2024)
The Interchangeability of the Cross-Platform Data in the Deep Learning-based Land Cover Classification Methodology
(15th International Conference on Hydroinformatics 2024)
2024/06 - Japan Society of Civil Engineers Intelligence, Informatics and Infrastructure Award 2024 Comprehensive Analysis of On-Site Riparian Waste Pollution: A Case Study on the Hyakken River Basin
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