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Tae-Young Heo

Showing results (1-10 of 35) with videos related to

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Sensors (Basel, Switzerland)|April 12, 2022
Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor DataDoyun Kim, Tae-Young Heo
The Journal of Physical Chemistry. B|January 30, 2024
Ionic Strength-Dependent Structure of Complex Coacervate Core MicellesTae-Young Heo, Soo-Hyung Choi
Diagnostics (Basel, Switzerland)|February 25, 2022
Trends in the Approval and Quality Management of Artificial Intelligence Medical Devices in the Republic of KoreaKyoungtaek Lim, Tae-Young Heo, Jaesuk Yun
ACS Macro Letters|October 2, 2023
Scaling Relationship of Complex Coacervate Core Micelles: Role of Core Block StretchingTae-Young Heo, Debra J Audus, Soo-Hyung Choi
ACS Macro Letters|November 30, 2023
Correction to "Scaling Relationship of Complex Coacervate Core Micelles: Role of Core Block Stretching"Tae-Young Heo, Debra J Audus, Soo-Hyung Choi
Environmetrics|November 26, 2009
An autoregressive point source model for spatial processesJacqueline M Hughes-Oliver, Tae-Young Heo, Sujit K Ghosh
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.
ACS Macro Letters|September 26, 2025
Non-Newtonian Behavior of Spherical Coacervate Micelle Dispersions in Aqueous MediaBookun Kim, Tae-Young Heo, Ju Min Kim, 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.
ACS Macro Letters|May 13, 2022
Molecular Exchange Kinetics in Complex Coacervate Core Micelles: Role of Associative InteractionTae-Young Heo, Sojeong Kim, Liwen Chen, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Sensors (Basel, Switzerland)|April 12, 2022
Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor DataDoyun Kim, Tae-Young Heo
The Journal of Physical Chemistry. B|January 30, 2024
Ionic Strength-Dependent Structure of Complex Coacervate Core MicellesTae-Young Heo, Soo-Hyung Choi
Diagnostics (Basel, Switzerland)|February 25, 2022
Trends in the Approval and Quality Management of Artificial Intelligence Medical Devices in the Republic of KoreaKyoungtaek Lim, Tae-Young Heo, Jaesuk Yun
ACS Macro Letters|October 2, 2023
Scaling Relationship of Complex Coacervate Core Micelles: Role of Core Block StretchingTae-Young Heo, Debra J Audus, Soo-Hyung Choi
ACS Macro Letters|November 30, 2023
Correction to "Scaling Relationship of Complex Coacervate Core Micelles: Role of Core Block Stretching"Tae-Young Heo, Debra J Audus, Soo-Hyung Choi
Environmetrics|November 26, 2009
An autoregressive point source model for spatial processesJacqueline M Hughes-Oliver, Tae-Young Heo, Sujit K Ghosh
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.
ACS Macro Letters|September 26, 2025
Non-Newtonian Behavior of Spherical Coacervate Micelle Dispersions in Aqueous MediaBookun Kim, Tae-Young Heo, Ju Min Kim, 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.
ACS Macro Letters|May 13, 2022
Molecular Exchange Kinetics in Complex Coacervate Core Micelles: Role of Associative InteractionTae-Young Heo, Sojeong Kim, Liwen Chen, et al.
Pageof 4