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

Digital Library


Search: "[ keyword: Detection ]" (113)
  1. 61. Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms
    Da-hyeon Kim, Jun-ho Ahn, Vol. 23, No. 6, pp. 71-78, Dec. 2022
    10.7472/jksii.2022.23.6.71
    Keywords: 3D LiDAR, clustering, Object Detection, Fusion camera, Hyper-parameter
  2. 62. A Study on Methods for Accelerating Sea Object Detection in Smart Aids to Navigation System
  3. 63. Anomaly detection and attack type classification mechanism using Extra Tree and ANN
  4. 64. Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data
  5. 65. 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
  6. 66. 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
  7. 67. 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
  8. 68. Adaptive Window-based Detection of Narcotics and Explosives using IMS Signals in Cargo Containers
  9. 69. 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
  10. 70. Bidirectional LSTM based light-weighted malware detection modelusing Windows PE format binary data
    Kwang-Yun PARK, Soo-Jin LEE, Vol. 23, No. 1, pp. 87-93, Feb. 2022
    10.7472/jksii.2022.23.1.87
    Keywords: Bidirectional LSTM, Windows PE malware, Detection, EMBER2018