Digital Library

1. 31. Malware Image Classification with Dilated Convolution and Channel Attention in ConvNeXt-Tiny
   Joon-soo Shim, Chan-ho Lee, Jong-geun Choi, Hyuk-jin Kwon, Vol. 27, No. 1, pp. 27-38, Feb. 2026
   10.7472/jksii.2026.27.1.27
   Keywords: Malware classification, Transfer Learning, Deep Learning, ConvNeXt, Dilated Convolution, channel attention, Low-label Learning, Image-based Malware Detection, Generalization performance, cybersecurity
2. 32. 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
3. 33. Efficient Facial Feature Classification for Makeup-Robust Recognition (EFFC)
   Su-Rak Son, Yi-Na Jeong, Vol. 26, No. 6, pp. 43-50, Dec. 2025
   10.7472/jksii.2025.26.6.43
   Keywords: Deep Learning, CNN, Facial Recognition, facial feature classification
4. 34. Respiratory Anomaly Detection using Multi Feature Learning with Various Audio Spectrograms
   Gyurin Byun, Huigyu Yang, Hyunseung Choo, Vol. 26, No. 5, pp. 75-81, Oct. 2025
   10.7472/jksii.2025.26.5.75
   Keywords: Respiratory sound classification, Temporal Convolutional Network (TCN), Multi-spectral fusion, Deep time-series learning
5. 35. Performance Analysis and Improvement of AI model for Radar Signal Modulation Type Classification based on Data Preprocessing
   Juhyoung Sung, Kiwon Kwon, Kyoungwon Park, Vol. 26, No. 4, pp. 31-39, Aug. 2025
   10.7472/jksii.2025.26.4.31
   Keywords: Artificial intelligence, CNN, Data Preprocessing, modulation type classification, Radar signal, STFT, WVD
6. 36. DiabetesNet: Lightweight and Efficient AI-based Solution for Real-World Diabetic Foot Classification
   Jeong-Eun Moon, Yong-Jin Cho, Se-Yeol Rhyou, Sang-Hoon Hong, Vol. 26, No. 2, pp. 167-178, Apr. 2025
   10.7472/jksii.2025.26.2.167
   Keywords: Diabetic Foot Classification, AI-Powered Healthcare, Object Detection, Convolutional Neural Network (CNN), explainable artificial intelligence (XAI)
7. 37. Classification Model Development and Critical Factors Analysis of VPN and Non-VPN Traffic
   Namgeon Kim, Seo-Hyeon Kim, Sanghoon Jeon, Vol. 26, No. 2, pp. 1-10, Apr. 2025
   10.7472/jksii.2025.26.2.1
   Keywords: VPN, NoN-VPN, Network Traffic Classification, Machine Learning Models, Feature Importance Analysis
8. 38. Explosive Classification and Algorithm Performance Comparison Based on IMS Data in Port Containers
   Hyung-Tak Ju, Sae-Yong Park, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 26, No. 1, pp. 35-44, Feb. 2025
   10.7472/jksii.2025.26.1.35
   Keywords: explosive classification, Time series Classification, Machine Learning
9. 39. An OTT Interlocked Platform with Emotion Classification based on Polar Coordinates for Customized Healing Contents
   Min-goo Kang, Vol. 25, No. 6, pp. 1-7, Dec. 2024
   10.7472/jksii.2024.25.6.1
   Keywords: Polar Coordinate-based Emotional Classification Codes, K_Tour Location Healing Contents, Geofence Beacon Location Recognition, MFA User Multi_factor ID Authentication
10. 40. Research on DNS DRDoS Detection Methods Using CNN
    Hoon Shin, Jaeyeong Jeong, Kyu-min Cho, Jae-il Lee, Dong-kyoo Shin, Vol. 25, No. 6, pp. 131-145, Dec. 2024
    10.7472/jksii.2024.25.6.131
    Keywords: AI Security, Artificial intelligence, Machine Learning, Deep Learning, CNN, DDoS, DrDoS, image processing, Image Classification