1. A novel method for micropollutant quantification using deep learning and multi-objective optimization. (1st April 2022) Authors: Yun, Daeun; Kang, Daeho; Jang, Jiyi; Angeles, Anne Therese; Pyo, JongCheol; Jeon, Junho; Baek, Sang-Soo; Cho, Kyung Hwa Journal: Water research Issue: Volume 212(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea. Issue 5 (3rd May 2016) Authors: Pyo, JongCheol; Ha, SeongHyeon; Pachepsky, Yakov A.; Lee, Hyuk; Ha, Rim; Nam, Gibeom; Kim, Moon S.; Im, Jungho; Cho, Kyung Hwa Journal: Remote sensing letters Issue: Volume 7:Issue 5(2016) Page Start: 407 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage. (15th September 2021) Authors: Pyo, JongCheol; Cho, Kyung Hwa; Kim, Kyunghyun; Baek, Sang-Soo; Nam, Gibeom; Park, Sanghyun Journal: Water research Issue: Volume 203(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Developing a cloud-based toolbox for sensitivity analysis of a water quality model. (July 2021) Authors: Kim, Soobin; Kwon, Yong Sung; Pyo, JongCheol; Ligaray, Mayzonee; Min, Joong-Hyuk; Ahn, Jung Min; Baek, Sang-Soo; Cho, Kyung Hwa Journal: Environmental modelling & software Issue: Volume 141(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Drone-borne sensing of major and accessory pigments in algae using deep learning modeling. Issue 1 (31st December 2022) Authors: Pyo, JongCheol; Hong, Seok Min; Jang, Jiyi; Park, Sanghun; Park, Jongkwan; Noh, Jae Hoon; Cho, Kyung Hwa Journal: GIScience & remote sensing Issue: Volume 59:Issue 1(2022) Page Start: 310 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Dynamic calibration of phytoplankton blooms using the modified SWAT model. (1st April 2022) Authors: Lee, Jiye; Woo, So-Young; Kim, Yong-Won; Kim, Seong-Joon; Pyo, JongCheol; Cho, Kyung Hwa Journal: Journal of cleaner production Issue: Volume 343(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models. (15th September 2021) Authors: Pyo, JongCheol; Kwon, Yong Sung; Min, Joong-Hyuk; Nam, Gibeom; Song, Yong-Sik; Ahn, Jung Min; Park, Sanghyun; Lee, Jeongwon; Cho, Kyung Hwa; Park, Yongeun Journal: Journal of environmental management Issue: Volume 294(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery. Issue 1 (31st December 2022) Authors: Hong, Seok Min; Cho, Kyung Hwa; Park, Sanghyun; Kang, Taegu; Kim, Moon Sung; Nam, Gibeom; Pyo, JongCheol Journal: GIScience & remote sensing Issue: Volume 59:Issue 1(2022) Page Start: 547 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea. (1st December 2017) Authors: Park, Yongeun; Pyo, JongCheol; Kwon, Yong Sung; Cha, YoonKyung; Lee, Hyuk; Kang, Taegu; Cho, Kyung Hwa Journal: Water research Issue: Volume 126(2017) Page Start: 319 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level. (30th June 2022) Authors: Baek, Sang-Soo; Jung, Eun-Young; Pyo, JongCheol; Pachepsky, Yakov; Son, Heejong; Cho, Kyung Hwa Journal: Water research Issue: Volume 218(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗