JICS

1. Exploring Data Augmentation Ratios for YOLO-Based Multi-Category Clothing Image Classification by Model Size

Seyeon Park, Sunga Hwang, Beakcheol Jang, Vol. 25, No. 5, pp. 95-105, Oct. 2024

10.7472/jksii.2024.25.5.95
Keywords: clothing classification, Object Detection, color extraction, hyper-parameter fine-tuning, Image Augmentation

2. Generating Data and Applying Machine Learning Methods for Music Genre Classification

Bit-Chan Eom, Dong-Hwi Cho, Choon-Sung Nam, Vol. 25, No. 4, pp. 57-64, Aug. 2024

10.7472/jksii.2024.25.4.57
Keywords: Music genre classification, Machine Learning, Music feature extraction, GTZAN, Support Vector Machine

3. Data Efficient Image Classification for Retinal Disease Diagnosis

Honggu Kang, Huigyu Yang, Moonseong Kim, Hyunseung Choo, Vol. 25, No. 3, pp. 19-25, Jun. 2024

10.7472/jksii.2024.25.3.19
Keywords: Ocular disease diagnosis and classification, CFI, CNN, Deep Learning, Artificial intelligence

4. A Study on Machine Learning-Based Real-Time Gesture Classification Using EMG Data

Ha-Je Park, Hee-Young Yang, So-Jin Choi, Dae-Yeon Kim, Choon-Sung Nam, Vol. 25, No. 2, pp. 57-67, Apr. 2024

10.7472/jksii.2024.25.2.57
Keywords: EMG, Machine Learning, Real time gestuer classification, EMG data preprocessing

5. DFLM(Deeplearning facial landmark model) for facial emotion classification

Yi-na Jeong, Yong-bo Sim, Su-rak Son, Vol. 24, No. 3, pp. 43-50, Jun. 2023

10.7472/jksii.2023.24.3.43
Keywords: facial landmark, deeplearning, facial emotion classification

6. Cyber attack group classification based on MITRE ATT&CK model

Chang-hee Choi, Chan-ho Shin, Sung-uk Shin, Vol. 23, No. 6, pp. 1-13, Dec. 2022

10.7472/jksii.2022.23.6.1
Keywords: Cyber Attack, attack group similarity, attack group classification, APT, MITRE ATT&CK

7. Anomaly detection and attack type classification mechanism using Extra Tree and ANN

Min-Gyu Kim, Myung-Mook Han, Vol. 23, No. 5, pp. 79-85, Oct. 2022

10.7472/jksii.2022.23.5.79
Keywords: Extreme Random Forest, Artificial neural network, Anomaly Detection, Anomaly Detection and Attack type Classification, Network intrusion detection

8. A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN)

Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 23, No. 4, pp. 11-19, Aug. 2022

10.7472/jksii.2022.23.4.11
Keywords: Deep Learning, explosive classification, abnormality detection system

9. A hybrid intrusion detection system based on CBA and OCSVM for unknown threat detection

Gun-Yoon Shin, Dong-Wook Kim, Jiyoung Yun, Sang-Soo Kim, Myung-Mook Han, Vol. 22, No. 3, pp. 27-35, Jun. 2021

10.7472/jksii.2021.22.3.27
Keywords: Unknown Threat, Hybrid Intrusion Detection, Classification based on Association Rule, One-class SVM

10. A Study on Classification of Variant Malware Family Based on ResNet-Variational AutoEncoder

Young-jeon Lee, Myung-Mook Han, Vol. 22, No. 2, pp. 1-9, Apr. 2021

10.7472/jksii.2021.22.2.1
Keywords: Variant Malware, Malware classification, Variational AutoEncoder, Tranfer Learning, Ensemble learning