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Jungsu Park

Showing results (1-10 of 30) with videos related to

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The Science of the Total Environment|April 18, 2018
Modeling fine particle dynamics in gravel-bedded streams: Storage and re-suspension of fine particlesJungsu Park, James R Hunt
Water Environment Research : a Research Publication of the Water Environment Federation|March 30, 2026
Interpreting the Effects of Environmental Variables on a Multistep Deep Learning Model for Algal Bloom Prediction Using Explainable Artificial IntelligenceJuneoh Kim, Woo Hyoung Lee, Jungsu Park
Ultrasonics Sonochemistry|May 16, 2019
Variation of efficiencies and limits of ultrasonication for practical algal bloom control in fieldsJungsu Park, Younggyu Son, Woo Hyoung Lee
The Science of the Total Environment|May 29, 2024
Recent advances in algal bloom detection and prediction technology using machine learningJungsu Park, Keval Patel, Woo Hyoung Lee
Water Environment Research : a Research Publication of the Water Environment Federation|December 23, 2025
Interpreting the Effect of Generative Adversarial Network Application on Deep Learning Model Performance for Chlorophyll-a Concentration Prediction in a Stream Using Explainable Artificial IntelligenceJungsu Park, Woo Hyoung Lee, Ilsuk Kang, et al.
The Science of the Total Environment|May 1, 2025
Advancements in artificial intelligence-based technologies for PFAS detection, monitoring, and managementJungsu Park, Jong-Hyun Baik, Samuel Adjei-Nimoh, et al.
Water Environment Research : a Research Publication of the Water Environment Federation|October 9, 2024
Explainable artificial intelligence for the interpretation of ensemble learning performance in algal bloom estimationJungsu Park, Byeongchan Seong, Yeonjeong Park, et al.
Bioresource Technology|January 16, 2023
Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural networkAshutosh Kumar Pandey, Jungsu Park, Alice Muhorakeye, et al.
Ultrasonics Sonochemistry|June 22, 2017
Recent advances in ultrasonic treatment: Challenges and field applications for controlling harmful algal blooms (HABs)Jungsu Park, Jared Church, Younggyu Son, et al.
Bioresource Technology|March 5, 2020
Assessment of Chlorella sp. as a potential feedstock for biological methane productionJungsu Park, A Naresh Kumar, Roent Dune A Cayetano, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
The Science of the Total Environment|April 18, 2018
Modeling fine particle dynamics in gravel-bedded streams: Storage and re-suspension of fine particlesJungsu Park, James R Hunt
Water Environment Research : a Research Publication of the Water Environment Federation|March 30, 2026
Interpreting the Effects of Environmental Variables on a Multistep Deep Learning Model for Algal Bloom Prediction Using Explainable Artificial IntelligenceJuneoh Kim, Woo Hyoung Lee, Jungsu Park
Ultrasonics Sonochemistry|May 16, 2019
Variation of efficiencies and limits of ultrasonication for practical algal bloom control in fieldsJungsu Park, Younggyu Son, Woo Hyoung Lee
The Science of the Total Environment|May 29, 2024
Recent advances in algal bloom detection and prediction technology using machine learningJungsu Park, Keval Patel, Woo Hyoung Lee
Water Environment Research : a Research Publication of the Water Environment Federation|December 23, 2025
Interpreting the Effect of Generative Adversarial Network Application on Deep Learning Model Performance for Chlorophyll-a Concentration Prediction in a Stream Using Explainable Artificial IntelligenceJungsu Park, Woo Hyoung Lee, Ilsuk Kang, et al.
The Science of the Total Environment|May 1, 2025
Advancements in artificial intelligence-based technologies for PFAS detection, monitoring, and managementJungsu Park, Jong-Hyun Baik, Samuel Adjei-Nimoh, et al.
Water Environment Research : a Research Publication of the Water Environment Federation|October 9, 2024
Explainable artificial intelligence for the interpretation of ensemble learning performance in algal bloom estimationJungsu Park, Byeongchan Seong, Yeonjeong Park, et al.
Bioresource Technology|January 16, 2023
Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural networkAshutosh Kumar Pandey, Jungsu Park, Alice Muhorakeye, et al.
Ultrasonics Sonochemistry|June 22, 2017
Recent advances in ultrasonic treatment: Challenges and field applications for controlling harmful algal blooms (HABs)Jungsu Park, Jared Church, Younggyu Son, et al.
Bioresource Technology|March 5, 2020
Assessment of Chlorella sp. as a potential feedstock for biological methane productionJungsu Park, A Naresh Kumar, Roent Dune A Cayetano, et al.
Pageof 3