• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ keyword: 분류 ]" (33)
  1. 1. 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
  2. 2. 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
  3. 3. Anomaly detection and attack type classification mechanism using Extra Tree and ANN
  4. 4. 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
  5. 5. A hybrid intrusion detection system based on CBA and OCSVM for unknown threat detection
  6. 6. 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
  7. 7. A Study on Defense and Attack Model for Cyber Command Control System based Cyber Kill Chain
  8. 8. A Noise-Tolerant Hierarchical Image Classification System based on Autoencoder Models
    Jong-kwan Lee, Vol. 22, No. 1, pp. 23-30, Feb. 2021
    10.7472/jksii.2021.22.1.23
    Keywords: Image Classification, Deep Learning, Machine Learning, Autoencoder, noise
  9. 9. A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm
    Hyunju Lee, Dongil Shin, Dongkyoo Shin, Vol. 20, No. 5, pp. 27-36, Oct. 2019
    10.7472/jksii.2019.20.5.27
    Keywords: DEAP dataset, ICA, Arousal-Valence plane, Random Forest, Attribute Selected Classifier
  10. 10. Pedestrian Classification using CNN's Deep Features and Transfer Learning
    Soyoung Chung, Min Gyo Chung, Vol. 20, No. 4, pp. 91-102, Aug. 2019
    10.7472/jksii.2019.20.4.91
    Keywords: Pedestrian Classification, Transfer Learning, Deep Features, CNN, INRIA Person Data Set