Taegu Kang

According to our database, Taegu Kang authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Explainable AI-based modeling of chlorophyll-a using water quality and DOM characteristics: Toward interpretable prediction and actionable management strategies.

Ji Woo Han, Yeon Jung Cho, In Gu Ryu, Ji-Hyun Park, Taegu Kang, Jayong Koo

Ecol. Informatics, 2026

Extendable Planning via Multiscale Diffusion.

Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Samyeul Noh, Yoshua Bengio, Sungjin Ahn

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion.

Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Yoshua Bengio, Sungjin Ahn

CoRR, March, 2025

2021

Predicting Cyanobacterial Blooms Using Hyperspectral Images in a Regulated River.

Jung Min Ahn, Byungik Kim, Jaehun Jong, Gibeom Nam, Lan Joo Park, Sanghyun Park, Taegu Kang, Jae-Kwan Lee, Jungwook Kim

Sensors, 2021

Quantification of Phycocyanin in Inland Waters through Remote Measurement of Ratios and Shifts in Reflection Spectral Peaks.

Gibeom Nam, Hyunjoo Shin, Rim Ha, Hyunoh Song, Jaehyun Yoo, Hyuk Lee, Sanghyun Park, Taegu Kang, Kyunghyun Kim

Remote. Sens., 2021

2020

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

Jong Cheol Pyo, Hongtao Duan, Mayzonee Ligaray, Minjeong Kim, Sang-Soo Baek, Yong Sung Kwon, Hyuk Lee, Taegu Kang, Kyunghyun Kim, YoonKyung Cha, Kyung Hwa Cho

Remote. Sens., 2020

2018

High-Spatial Resolution Monitoring of <i>Phycocyanin</i> and <i>Chlorophyll</i>-<i>a</i> Using Airborne Hyperspectral Imagery.

Jong Cheol Pyo, Mayzonee Ligaray, Yong Sung Kwon, Myoung Hwan Ahn, Kyunghyun Kim, Hyuk Lee, Taegu Kang, Seong Been Cho, Yongeun Park, Kyung Hwa Cho

Remote. Sens., 2018