Kichang Im

Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification

Rafia Nishat Toma, Hyun-Kyun Choi, Farzin Piltan, 2022, Sensors.

A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions

Rafia Nishat Toma, Farzin Piltan, Dongkoo Shon, 2022, Sensors.

Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals

Jong-Myon Kim, Byungtae Jang, Jeong-Ho Park, 2018, International journal of environmental research and public health.

Rolling-Element Bearing Fault Diagnosis Using Advanced Machine Learning-Based Observer

Jong-Myon Kim, Farzin Piltan, In-Kyu Jeong, 2019, Applied Sciences.

Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features

Rafia Nishat Toma, Farzin Piltan, Dongkoo Shon, 2022, Sensors.

A Watermarking Technique for Biomedical Images Using SMQT, Otsu, and Fuzzy C-Means

Jeong-Ho Park, Jong-Myon Kim, Byung-Tae Jang, 2019, Electronics.

Sleep State Classification Using Power Spectral Density and Residual Neural Network with Multichannel EEG Signals

Hyun-Kyun Choi, Jong-Myon Kim, Kichang Im, 2020, Applied Sciences.

A Reliable Health Indicator for Fault Prognosis of Bearings

Jong-Myon Kim, Jeongho Park, Byungtae Jang, 2018, Sensors.

Numerical simulation of a flow with a magnetic field in an induction furnace of various materials

M. Bae, Kichang Im, 2008 .

A Deep-Learning-Based Bearing Fault Diagnosis Using Defect Signature Wavelet Image Visualization

Cheol Hong Kim, Jong-Myon Kim, Kichang Im, 2020, Applied Sciences.