Analysis of Water Quality Conditions of Lake Hachiroko Using Fuzzy C-Means. - Kai Matsui; Yoichi Kageyama; Hiroshi Yokoyama (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Learning Data Conditions for Resolution Improvement Using UAV Data. - Kai Matsui; Hikaru Shirai; Yoichi Kageyama; Hiroshi Yokoyama (SCIS/ISIS, 2020)

Improving the resolution of UAV-based remote sensing data of water quality of Lake Hachiroko, Japan by neural networks. - Kai Matsui; Hikaru Shirai; Yoichi Kageyama; Hiroshi Yokoyama (Ecol. Informatics, 2021)

Efficient landslide detection by UAV-based multi-temporal visual analysis. - Yosuke Yamaguchi; Kai Matsui; Jun Ohya; Katsuya Hasegawa; Hiroshi Nagahashi (IRIACV, 2022)

Water pollution evaluation through fuzzy c-means clustering and neural networks using ALOS AVNIR-2 data and water depth of Lake Hosenko, Japan. - Kai Matsui; Yoichi Kageyama (Ecol. Informatics, 2022)

Estimating water quality through neural networks using Terra ASTER data, water depth, and temperature of Lake Hachiroko, Japan. - Kai Matsui; Hikaru Shirai; Yoichi Kageyama; Hiroshi Yokoyama; Miyuki Asano (Environ. Model. Softw., 2023)