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Showing results 1 to 20 of 43

Issue DateTitleAuthor(s)TypeView
2019-12-10A big data-driven model for water quality estimation with high spectral and spatial resolution imageryPyo, JongCheol; Duan, Hongtao; Baek, Sangsoo; Jean, Taeyun; Kim, Moon Sung; Kwon, Yongsung; Lee, Hyuk; Cho, Kyung HwaCONFERENCE359
2019-11A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imageryPyo, JongCheol; Duan, Hongtao; Baek, Sangsoo; Kim, Moon Sung; Jeon, Taegyun; Kwon, Yong Sung; Lee, Hyuk; Cho, Kyung HwaARTICLE875
2022-04A novel method for micropollutant quantification using deep learning and multi-objective optimizationYun, Daeun; Kang, Daeho; Jang, Jiyi; Angeles, Anne Therese; Pyo, JongCheol; Jeon, Junho; Baek, Sang-Soo; Cho, Kyung HwaARTICLE155
2019-12-09An enhanced water quality module of the SWMM model for evaluating Low Impact Development (LID) in Urban areaBaek, Sangsoo; Ligaray, Mayzonee; Pyo, JongCheol; Park, Jong-Pyo; Kang, Joo-Hyon; Chnn, Jong A; Cho, Kyung Hwa; Hong, SeokminCONFERENCE354
2020-03An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral ImageryPyo, JongCheol; Duan, Hongtao; Ligaray, Mayzonee; Kim, Minjeong; Baek, Sangsoo; Kwon, Yong Sung; Lee, Hyuk; Kang, Taegu; Kim, Kyunghyun; Cha, YoonKyung; Cho, Kyung HwaARTICLE1513
2022-02Analysis of micropollutants in a marine outfall using network analysis and decision treeBaek, Sang-Soo; Yun, Daeun; Pyo, JongCheol; Kang, Daeho; Cho, Kyung Hwa; Jeon, JunhoARTICLE222
2022-11Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoirKim, Jinuk; Jang, Wonjin; Kim, Jin Hwi; Lee, Jiwan; Cho, Kyung Hwa; Lee, Yong-Gu; Chon, Kangmin; Park, Sanghyun; Pyo, JongCheol; Park, Yongeun; Kim, SeongjoonARTICLE220
2019-10-30Application of drone-based hyperspectral imagery and vertical cumulative pigment concentration for cyanobacterial pigment estimationKwon, Yong Sung; Pyo, JongCheol; Kwon, Yong-Hwan; Duan, Hongtao; Cho, Kyung Hwa; Park, YongeunCONFERENCE270
2021-11Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South KoreaLy, Quang Viet; Nguyen, Xuan Cuong; Lê, Ngoc C.; Truong, Tien-Dung; Hoang, Thu-Huong T.; Park, Tae Jun; Maqbool, Tahir; Pyo, JongCheol; Cho, Kyung Hwa; Lee, Kwang-Sik; Hur, JinARTICLE261
2017-11-17Chlorophyll-a and Phycocyanin estimation with optimization of bio-optical algorithm in inland waters in KoreaPyo, JongCheol; Pachepsky, Yakov; Baek, Sang Soo; Kwon, YongSeong; Kim, MinJeong; Lee, Hyuck; Park, Sanghyun; Cha, YoonKyung; Ha, Rim; Nam, Gibeom; Park, Yongeun; Cho, Kyung HwaCONFERENCE219
2016-02Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, KoreaPyo, JongCheol; Ha, SeongHyeon; Yakov A. Pachepsky; Lee, Hyuk; Ha, Rim; Nam, Gibeom; Kim. Moon S.; Im, Jungho; Cho, Kyung HwaARTICLE894
2020-11-13Convolutional neural network for estimating vertical profiles of harmful cyanobacteria using drone-borne hyperspectral image in lake waterHong, Seok Min; Baek, Sang-Soo; Yun, Daeun; Kwon, Yong-Hwan; Pyo, JongCheol; Cho, Kyung HwaCONFERENCE365
2021-09Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblagePyo, JongCheol; Cho, Kyung Hwa; Kim, Kyunghyun; Baek, Sang-Soo; Nam, Gibeom; Park, SanghyunARTICLE172
2021-10Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical ModelBaek, Sang-Soo; Pyo, JongCheol; Kwon, Yong Sung; Chun, Seong-Jun; Baek, Seung Ho; Ahn, Chi-Yong; Oh, Hee-Mock; Kim, Young Ok; Cho, Kyung HwaARTICLE185
2019-10Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtrationPark, Sanghun; Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov; Park, Jongkwan; Cho, Kyung HwaARTICLE672
2021-05Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modelingKim, Minjeong; Ligaray, Mayzonee; Kwon, Yong Sung; Kim, Soobin; Baek, Sangsoo; Pyo, JongCheol; Baek, Gahyun; Shin, Jingyeong; Kim, Jaai; Lee, Changsoo; Kim, Young Mo; Cho, Kyung HwaARTICLE248
2021-07Developing a cloud-based toolbox for sensitivity analysis of a water quality modelKim, Soobin; Kwon, Yong Sung; Pyo, JongCheol; Ligaray, Mayzonee; Min, Joong-Hyuk; Ahn, Jung Min; Baek, Sang-Soo; Cho, Kyung HwaARTICLE327
2016-10-25Developing a SWAT Sub-Module for Simulating Dynamics of Cyanobacteria, Green algae, and DiatomPyo, JongCheol; Pachepsky, Yakov A; Lee, Hyuk; Cha, YoonKyung; Park, Yongeun; Cho, Kyung HwaCONFERENCE212
2020-01Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoirKwon, Yong Sung; Pyo, JongCheol; Kwon, Yong-Hwan; Duan, Hongtao; Cho, Kyung Hwa; Park, YongeunARTICLE771
2022-01Drone-borne sensing of major and accessory pigments in algae using deep learning modelingPyo, JongCheol; Hong, Seok Min; Jang, Jiyi; Park, Sanghun; Park, Jongkwan; Noh, Jae Hoon; Cho, Kyung HwaARTICLE190
Showing results 1 to 20 of 43

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