Seok Min Hong

Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil.

M. Kim, K. Cho, J. Pyo, 2020, The Science of the total environment.

Drone-borne sensing of major and accessory pigments in algae using deep learning modeling

Jongkwan Park, K. Cho, J. Pyo, 2022, GIScience & Remote Sensing.

Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning

K. Cho, Sang-Soo Baek, J. Pyo, 2022, Environmental Engineering Research.

Evaluating an on-line cleaning agent for mitigating organic fouling in a reverse osmosis membrane.

Jongkwan Park, K. Cho, Sanghun Park, 2021, Chemosphere.

Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery

M. Kim, Sanghyung Park, Gibeom Nam, 2022, GIScience & Remote Sensing.

Developing a data-driven modeling framework for simulating a chemical accident in freshwater

Sang-Soo Baek, Ather Abbas, Soobin Kim, 2023, Journal of Cleaner Production.

Predicting the distribution coefficient of cesium in solid phase groups using machine learning.

Seok Min Hong, In-Ho Yoon, Kyung Hwa Cho, 2024, Chemosphere.