2 citations · 2 across the 5 of their papers we have counts for
5 papers
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception
Hankyul Baek, Yoo Jeong, Ha +3
In modern on-driving computing environments, many sensors are used for context-aware applications. This paper utilizes two deep learning models, U-Net and EfficientNet, which consi…
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset
Yoo Jeong Ha, Gusang Lee, Minjae Yoo +3
It seems as though progressively more people are in the race to upload content, data, and information online; and hospitals haven't neglected this trend either. Hospitals are now a…
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim +2
Autonomous surveillance unmanned aerial vehicles (UAVs) are deployed to observe the streets of the city for any suspicious activities. This paper utilizes surveillance UAVs for the…
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data
Yoo Jeong Ha, Minjae Yoo, Gusang Lee +4
Machine learning requires a large volume of sample data, especially when it is used in high-accuracy medical applications. However, patient records are one of the most sensitive pr…
Secure Aerial Surveillance using Split Learning
Yoo Jeong Ha, Minjae Yoo, Soohyun Park +2
Personal monitoring devices such as cyclist helmet cameras to record accidents or dash cams to catch collisions have proliferated, with more companies producing smaller and compact…