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

Digital Library


Search: "[ keyword: Detect ]" (102)
  1. 91. Detection of Signs of Hostile Cyber Activity against External Networks based on Autoencoder
    Hansol Park, Kookjin Kim, Jaeyeong Jeong, jisu Jang, Jaepil Youn, Dongkyoo Shin, Vol. 23, No. 6, pp. 39-48, Dec. 2022
    10.7472/jksii.2022.23.6.39
    Keywords: Anomaly Detection, Autoencoder, BGP Archive Data
  2. 92. Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data
  3. 93. Anomaly detection and attack type classification mechanism using Extra Tree and ANN
  4. 94. A Study on Methods for Accelerating Sea Object Detection in Smart Aids to Navigation System
  5. 95. Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites
    Da-hyeon Kim, Man-bok Park, Jun-ho Ahn, Vol. 23, No. 4, pp. 57-64, Aug. 2022
    10.7472/jksii.2022.23.4.57
    Keywords: Risk of building, Physical Security, Deep Learning, Disaster sites, Object Detection
  6. 96. 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
  7. 97. Adaptive Window-based Detection of Narcotics and Explosives using IMS Signals in Cargo Containers
  8. 98. Leision Detection in Chest X-ray Images based on Coreset of Patch Feature
    Hyun-bin Kim, Jun-Chul Chun, Vol. 23, No. 3, pp. 35-45, Jun. 2022
    10.7472/jksii.2022.23.3.35
    Keywords: Anomaly Detection, X-Ray image, active learning, unsupervision, Deep Learning
  9. 99. A machine learning framework for performance anomaly detection
  10. 100. Analysis of Abnormal Event Detection Research using Intelligent IoT Devices for Human Health Cares
    Do-hyeon Lee, Da-hyeon Kim, Jun-ho Ahn, Vol. 23, No. 2, pp. 37-44, Apr. 2022
    10.7472/jksii.2022.23.2.37
    Keywords: Intelligence, Emergency detection, IoT sensors, wearable device, Health cares