Jungho Im

Associate Professor

Korea Advanced Institute of Science and Technology

South Korea

Research Interests

Explore related searches

Professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (6)

Minki Choo

Institute of Science and Technology

SOUTH KOREA

View details

Jong-min Yeom

Korea Aerospace Research Institute

SOUTH KOREA

View details

Juhyun Lee

Institute of Science and Technology

SOUTH KOREA

View details

Taejun Sung

Institute of Science and Technology

SOUTH KOREA

View details

Yoojin Kang

Assistant Professor

Kookmin University

SOUTH KOREA

View details

Chul H. Song

Professor

Gwangju Institute of Science and Technology

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jungho Im

Research Interests

Explore related searches

Contact this professor

Articles (10)

Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning

Remote sensing of sea surface salinity: challenges and research directions

Novel Features of Canopy Height Distribution for Aboveground Biomass Estimation Using Machine Learning: A Case Study in Natural Secondary Forests

Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia

A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea

Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability

Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II

Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency

Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems

Collaborators (6)

Minki Choo

Jong-min Yeom

Juhyun Lee

Taejun Sung

Yoojin Kang

Chul H. Song

Make your next move.