Scholarworks@UNIST

UNIST Library

Browsing by Author : Pyo, JongCheol

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

가 나 다 라 마 바 사 아 자 차 카 타 파 하

Sort by: In order: Results/Page Etal:

Showing results 1 to 20 of 45

A big data-driven model for water quality estimation with high spectral and spatial resolution imagery

Pyo, JongCheol , Duan, Hongtao , Baek, Sangsoo , Jean, Taeyun , Kim, Moon Sung , Kwon, Yongsung , Lee, Hyuk , Cho, Kyung Hwa

Conference Paper Issue Date2019-12-10 View12

A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery File

Pyo, JongCheol , Duan, Hongtao , Baek, Sangsoo , Kim, Moon Sung , Jeon, Taegyun , Kwon, Yong Sung , Lee, Hyuk , Cho, Kyung Hwa

Article Issue Date2019-11 View3

A novel method for micropollutant quantification using deep learning and multi-objective optimization File

Yun, Daeun , Kang, Daeho , Jang, Jiyi , Angeles, Anne Therese , Pyo, JongCheol , Jeon, Junho , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2022-04 View5

An enhanced water quality module of the SWMM model for evaluating Low Impact Development (LID) in Urban area

Baek, Sangsoo , Ligaray, Mayzonee , Pyo, JongCheol , Park, Jong-Pyo , Kang, Joo-Hyon , Chnn, Jong A , Cho, Kyung Hwa , Hong, Seokmin

Conference Paper Issue Date2019-12-09 View8

An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery File File

Pyo, JongCheol , Duan, Hongtao , Ligaray, Mayzonee , Kim, Minjeong , Baek, Sangsoo , Kwon, Yong Sung , Lee, Hyuk , Kang, Taegu , Kim, Kyunghyun , Cha, YoonKyung , et al

Article Issue Date2020-03 View5

Analysis of micropollutants in a marine outfall using network analysis and decision tree File

Baek, Sang-Soo , Yun, Daeun , Pyo, JongCheol , Kang, Daeho , Cho, Kyung Hwa , Jeon, Junho

Article Issue Date2022-02 View7

Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir File File

Kim, Jinuk , Jang, Wonjin , Kim, Jin Hwi , Lee, Jiwan , Cho, Kyung Hwa , Lee, Yong-Gu , Chon, Kangmin , Park, Sanghyun , Pyo, JongCheol , Park, Yongeun , et al

Article Issue Date2022-11 View6

Application of drone-based hyperspectral imagery and vertical cumulative pigment concentration for cyanobacterial pigment estimation

Kwon, Yong Sung , Pyo, JongCheol , Kwon, Yong-Hwan , Duan, Hongtao , Cho, Kyung Hwa , Park, Yongeun

Conference Paper Issue Date2019-10-30 View5

Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea File

Ly, Quang Viet , Nguyen, Xuan Cuong , Lê, Ngoc C. , Truong, Tien-Dung , Hoang, Thu-Huong T. , Park, Tae Jun , Maqbool, Tahir , Pyo, JongCheol , Cho, Kyung Hwa , Lee, Kwang-Sik , et al

Article Issue Date2021-11 View10

Chlorophyll-a and Phycocyanin estimation with optimization of bio-optical algorithm in inland waters in Korea

Pyo, JongCheol , Pachepsky, Yakov , Baek, Sang Soo , Kwon, YongSeong , Kim, MinJeong , Lee, Hyuck , Park, Sanghyun , Cha, YoonKyung , Ha, Rim , Nam, Gibeom , et al

Conference Paper Issue Date2017-11-17 View3

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 File

Pyo, JongCheol , Ha, SeongHyeon , Yakov A. Pachepsky , Lee, Hyuk , Ha, Rim , Nam, Gibeom , Kim. Moon S. , Im, Jungho , Cho, Kyung Hwa

Article Issue Date2016-02 View5

Convolutional neural network for estimating vertical profiles of harmful cyanobacteria using drone-borne hyperspectral image in lake water

Hong, Seok Min , Baek, Sang-Soo , Yun, Daeun , Kwon, Yong-Hwan , Pyo, JongCheol , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-13 View10

Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage File

Pyo, JongCheol , Cho, Kyung Hwa , Kim, Kyunghyun , Baek, Sang-Soo , Nam, Gibeom , Park, Sanghyun

Article Issue Date2021-09 View9

Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model File File

Baek, Sang-Soo , Pyo, JongCheol , Kwon, Yong Sung , Chun, Seong-Jun , Baek, Seung Ho , Ahn, Chi-Yong , Oh, Hee-Mock , Kim, Young Ok , Cho, Kyung Hwa

Article Issue Date2021-10 View9

Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration File

Park, Sanghun , Baek, Sang-Soo , Pyo, JongCheol , Pachepsky, Yakov , Park, Jongkwan , Cho, Kyung Hwa

Article Issue Date2019-10 View13

Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling File

Kim, Minjeong , Ligaray, Mayzonee , Kwon, Yong Sung , Kim, Soobin , Baek, Sangsoo , Pyo, JongCheol , Baek, Gahyun , Shin, Jingyeong , Kim, Jaai , Lee, Changsoo , et al

Article Issue Date2021-05 View6

Developing a cloud-based toolbox for sensitivity analysis of a water quality model File

Kim, Soobin , Kwon, Yong Sung , Pyo, JongCheol , Ligaray, Mayzonee , Min, Joong-Hyuk , Ahn, Jung Min , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2021-07 View7

Developing a SWAT Sub-Module for Simulating Dynamics of Cyanobacteria, Green algae, and Diatom

Pyo, JongCheol , Pachepsky, Yakov A , Lee, Hyuk , Cha, YoonKyung , Park, Yongeun , Cho, Kyung Hwa

Conference Paper Issue Date2016-10-25 View3

Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir File

Kwon, Yong Sung , Pyo, JongCheol , Kwon, Yong-Hwan , Duan, Hongtao , Cho, Kyung Hwa , Park, Yongeun

Article Issue Date2020-01 View9

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

Pyo, JongCheol , Hong, Seok Min , Jang, Jiyi , Park, Sanghun , Park, Jongkwan , Noh, Jae Hoon , Cho, Kyung Hwa

Article Issue Date2022-01 View5

1 2 3 > >>

STATISTICS: Total View :280,943; Total Download :12,221; Today View :239

RSS 1.0 RSS 2.0

UNIST | Library

Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr

ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.