Min Hong

Professor

Soonchunhyang University

South Korea

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About

Min Hong is a Professor at Soonchunhyang University, South Korea. His research interests encompass large-scale particle and cloth simulation in real-time environments, as well as advanced machine learning techniques for various applications including fabric defect inspection and speech audiometry prediction. He has published extensively on topics such as physics simulation in extended reality and respiratory pattern analysis in chronic obstructive pulmonary disease.

Articles (20)

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2025

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2022

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2021

Collaborators (6)

Hyo-Wook Gil

Soonchunhyang University Hospital Bucheon

SOUTH KOREA

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seong jun choi

prof

Soonchunhyang University Hospital Bucheon

SOUTH KOREA

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Su Ha Han

SOUTH KOREA

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Ahyoung Lee

Assistant Professor

Kennesaw State University

UNITED STATES

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Se Dong Min

Professor

Soonchunhyang University

SOUTH KOREA

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Eun Young Lee

Professor

Soonchunhyang University Hospital Bucheon

SOUTH KOREA

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Min Hong

Research Interests

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About

Articles (20)

Enhancing Fabric Detection and Classification Using YOLOv5 Models

Moving Towards Large-Scale Particle Based Fluid Simulation in Unity 3D

Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU

Exhale-Focused Thermal Image Segmentation Using Optical Flow-Based Frame Filtering and Transformer-Aided Deep Networks

YOLO Object Detection for Real-Time Fabric Defect Inspection in the Textile Industry: A Review of YOLOv1 to YOLOv11

Fast Collision Detection Method with Octree-Based Parallel Processing in Unity3D

Development and Comparison of Machine Learning and Deep Learning Models for Speech Audiometry Prediction

Classification of Chronic Obstructive Pulmonary Disease (COPD) Through Respiratory Pattern Analysis

Real-Time Physics Simulation Method for XR Application

A Fast Parallel Processing Algorithm for Triangle Collision Detection Based on AABB and Octree Space Slicing in Unity3D

Supervised Video Cloth Simulation: Exploring Softness and Stiffness Variations on Fabric Types Using Deep Learning

Efficient Simulation of Volumetric Deformable Objects in Unity3D: GPU-Accelerated Position-Based Dynamics

OView-AI Supporter for Classifying Pneumonia, Pneumothorax, Tuberculosis, Lung Cancer Chest X-ray Images Using Multi-Stage Superpixels Classification

Arrhythmia and Heart Rate Variability during Long Interdialytic Periods in Patients on Maintenance Hemodialysis: Prospective Observational Cohort Study

Cutting Simulation in Unity 3D Using Position Based Dynamics with Various Refinement Levels

Deep Learning in Multi-Class Lung Diseases’ Classification on Chest X-ray Images

Prediction Model of Acute Respiratory Failure in Patients with Acute Pesticide Poisoning by Intentional Ingestion: Prediction of Respiratory Failure in Pesticide Intoxication (PREP) Scores in Cohort Study

Fingerprint classification using deep learning approach

Deep-Learning-Based Coronary Artery Calcium Detection from CT Image

Multi-Class Classification of Lung Diseases Using CNN Models

Collaborators (6)

Hyo-Wook Gil

seong jun choi

Su Ha Han

Ahyoung Lee

Se Dong Min

Eun Young Lee

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