Digital Library

1. 1. Olfactory Stimulus Classification Using Correlation Coefficient Based EEG Redundant Channel Elimination
   Hyun-il Kim, Woong-sik Shin, Choon-sung Nam, Vol. 26, No. 6, pp. 51-62, Dec. 2025
   10.7472/jksii.2025.26.6.51
   Keywords: EEG, feature engineering, Pearson Correlation Coefficient, wavelet transform, OVR-CSP, Olfactory Classification
2. 2. Application of Discrete Wavelet Transforms to Identify Unknown Attacks in Anomaly Detection Analysis
   Dong-Wook Kim, Gun-Yoon Shin, Ji-Young Yun, Sang-Soo Kim, Myung-Mook Han, Vol. 22, No. 3, pp. 45-52, Jun. 2021
   10.7472/jksii.2021.22.3.45
   Keywords: Unknown Attack, Discrete wavelet transform, Anomaly Detection, One-class SVM
3. 3. Classification of Parkinson's Disease Using Defuzzification-Based Instance Selection
   Sang-Hong Lee, Vol. 15, No. 3, pp. 109-116, Jun. 2014
   10.7472/jksii.2014.15.3.109
   Keywords: Instance Selection, Parkinson's disease, Gait, Fuzzy Neural Networks, Wavelet Transforms, Normal Distribution
4. 4. Features Extraction for Classifying Parkinson's Disease Based on Gait Analysis
   Sang-Hong Lee, Joon-S. Lim, Dong-Kun Shin, Vol. 11, No. 6, pp. 13-20, Dec. 2010
   Keywords: Parkinson's disease, Gait, Fuzzy Neural Networks, Wavelet Transforms, feature extraction
5. 5. Extracting Input Features and Fuzzy Rules for Classifying Epilepsy Based on NEWFM
   Sang-Hong Lee, Joon-S. Lim, Vol. 10, No. 5, pp. 127-134, Oct. 2009
   Keywords: Electroencephalogram, Epilepsy, Fuzzy Neural Networks, Wavelet Transforms, feature extraction