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Publications by Seongmun Sim
A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning From Geostationary Satellite Data
Remote Sensing
Earth
Planetary Sciences
Related publications
Probabilistic 0–1-H Convective Initiation Nowcasts That Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data
Journal of Applied Meteorology and Climatology
Atmospheric Science
Estimation of Tropical Cyclone Intensity Using Infrared Data From a Geostationary Satellite
Scientific Online Letters on the Atmosphere
Atmospheric Science
BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework
Frontiers in Computational Neuroscience
Neuroscience
Cellular
Molecular Neuroscience
A Machine Learning Prediction Model for Automated Brain Abnormalities Detection
Recent Patents on Computer Science
Enhancing Vertical Resolution of Satellite Atmospheric Profile Data: A Machine Learning Approach.
International Journal of Advanced Research
Towards Objective Identification and Tracking of Convective Outflow Boundaries in Next-Generation Geostationary Satellite Imagery
Automated Machine Learning Overview
Research Papers Faculty of Materials Science and Technology Slovak University of Technology
Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches
Remote Sensing
Earth
Planetary Sciences
A Framework of an Automated Data Mining Systems Using ERP Model
International Journal of Computer and Electrical Engineering