Yunho Kim

Assistant Professor

Korea Advanced Institute of Science and Technology

South Korea

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About

Yunho Kim is an Assistant Professor at Ulsan National Institute of Science and Technology in South Korea. His research areas include image denoising, deep learning optimization, predictive modeling for environmental monitoring, and socio-remote sensing analytics. He has published recent articles focusing on topics such as PM2.5 level prediction, pediatric health trends, and the impact of big data on tourism and energy integration in Southeast Asia.

Articles (16)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (2)

Hayoung Choi

Assistant professor

Kyungpook National University

SOUTH KOREA

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Pilwon Kim

Associate Professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Yunho Kim

Research Interests

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Articles (16)

Recursive reservoir concatenation for salt-and-pepper denoising

Improved weight initialization for deep and narrow feedforward neural network

Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM2.5 Level

Investigating Adolescent Vulnerability in Indonesia: A Socio-Remote Sensing Big Data Analytics Study Using Night Light Data

Understanding Pediatric Health Trends in Papua: Insights From SUSENAS, RISKESDAS, Remote Sensing, and Its Relevance to Prabowo and Gibran’s Free Lunch and Milk Program

Connectivity, sport events, and tourism development of Mandalika’s special economic zone: A perspective from big data cognitive analytics

Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM

Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia

Reservoir concatenation and the spectrum distribution of concatenated reservoir state matrices

Numerical investigation into the dependence of the Allen–Cahn equation on the free energy

Numerical investigation into the dependence of the Allen-Cahn equation on the free energy

Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing

Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing

PDE-guided reservoir computing for image denoising with small data

Two-stage adaptive random Fourier sampling method for image reconstruction

Novel mass-conserving Allen–Cahn equation for the boundedness of an order parameter

Collaborators (2)

Hayoung Choi

Pilwon Kim

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