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Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach File

Shin, Jihoon , Lee, Gunhyeong , Kim, Taeho , Cho, Kyung Hwa , Hong, Seok Min , Kwon, Do Hyuck , Pyo, Jongcheol , Cha, Yoonkyung

Article Issue Date2024-02 View62
Deep learning-based super-resolution for harmful algal bloom monitoring of inland water File File

Kwon, Do Hyuck , Hong, Seok Min , Abbas, Ather , Park, Sanghyun , Nam, Gibeom , Yoo, Jae-Hyun , Kim, Kyunghyun , Kim, Hong Tae , Pyo, Jongcheol , Cho, Kyung Hwa

Article Issue Date2023-09 View53
Improving chlorophyll-a estimation using Sentinel-2 data: a comparative analysis of augmented datasets File

Lee, Jinmyeong , Kwon, Do Hyuck , Jeong, Heewon , Nam, Gibeom , Hwang, Euiho , Kim, Jin Hwi , Cho, Kyung Hwa , Kim, Hyo Gyeom

Article Issue Date2025-12 View23
Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning File File

Kwon, Do Hyuck , Hong, Seok Min , Abbas, Ather , Pyo, JongCheol , Lee, Hyung-Kun , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2023-02 View76
Probabilistic machine learning-based phytoplankton abundance using hyperspectral remote sensing File

Kwon, Do Hyuck , Ahn, Jung Min , Pyo, Jong Cheol , Lee, Jiye , Abbas, Ather , Park, Sanghyun , Kim, Kyunghyun , Lee, Hyuk , Cho, Kyung Hwa

Article Issue Date2025-12 View27
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