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YoonKyung Cha

Showing results (1-10 of 24) with videos related to

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Water Research|November 15, 2024
Development of a deep learning-based feature stream network for forecasting riverine harmful algal blooms from a network perspectiveJihoon Shin, YoonKyung Cha
Environmental Pollution (Barking, Essex : 1987)|January 12, 2015
Mining web-based data to assess public response to environmental eventsYoonKyung Cha, Craig A Stow
Environmental Science & Technology|March 19, 2013
Are chlorophyll a-total phosphorus correlations useful for inference and prediction?Craig A Stow, Yoonkyung Cha
Water Research|July 1, 2025
A modular deep learning surrogate model for simulating harmful algal blooms in complex process-based systemsYoung Woo Kim, YoonKyung Cha, Jihoon Shin
Scientific Reports|June 8, 2023
Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South KoreaYongsung Kwon, YoonKyung Cha, Yeonjeong Park, et al.
Environmental Science & Technology|April 14, 2015
Implications of Stein's Paradox for Environmental Standard Compliance AssessmentSong S Qian, Craig A Stow, YoonKyung Cha
Water Research|December 3, 2023
Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependencyHyo Gyeom Kim, YoonKyung Cha, Kyung Hwa Cho
The Science of the Total Environment|December 26, 2021
Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streamsTaeHo Kim, DoYeon Lee, Jihoon Shin, et al.
Environmental Science & Technology|August 5, 2011
Do invasive mussels restrict offshore phosphorus transport in Lake Huron?Yoonkyung Cha, Craig A Stow, Thomas F Nalepa, et al.
Harmful Algae|August 20, 2025
Long-term spatiotemporal variability and regime classification of Chlorophyll-a concentrations in Lake Erie using satellite productsTaeho Kim, HaeDeun Lee, SooHyun Yang, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Water Research|November 15, 2024
Development of a deep learning-based feature stream network for forecasting riverine harmful algal blooms from a network perspectiveJihoon Shin, YoonKyung Cha
Environmental Pollution (Barking, Essex : 1987)|January 12, 2015
Mining web-based data to assess public response to environmental eventsYoonKyung Cha, Craig A Stow
Environmental Science & Technology|March 19, 2013
Are chlorophyll a-total phosphorus correlations useful for inference and prediction?Craig A Stow, Yoonkyung Cha
Water Research|July 1, 2025
A modular deep learning surrogate model for simulating harmful algal blooms in complex process-based systemsYoung Woo Kim, YoonKyung Cha, Jihoon Shin
Scientific Reports|June 8, 2023
Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South KoreaYongsung Kwon, YoonKyung Cha, Yeonjeong Park, et al.
Environmental Science & Technology|April 14, 2015
Implications of Stein's Paradox for Environmental Standard Compliance AssessmentSong S Qian, Craig A Stow, YoonKyung Cha
Water Research|December 3, 2023
Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependencyHyo Gyeom Kim, YoonKyung Cha, Kyung Hwa Cho
The Science of the Total Environment|December 26, 2021
Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streamsTaeHo Kim, DoYeon Lee, Jihoon Shin, et al.
Environmental Science & Technology|August 5, 2011
Do invasive mussels restrict offshore phosphorus transport in Lake Huron?Yoonkyung Cha, Craig A Stow, Thomas F Nalepa, et al.
Harmful Algae|August 20, 2025
Long-term spatiotemporal variability and regime classification of Chlorophyll-a concentrations in Lake Erie using satellite productsTaeho Kim, HaeDeun Lee, SooHyun Yang, et al.
Pageof 3