Digital Library
Search: "[ keyword: 탐지 ]" (54)
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Ye-yeon Kang, Jeong-Min Park, HoonJoon Kouh, Kyungyong Chung, Vol. 24, No. 5, pp. 29-35, Oct. 2023
10.7472/jksii.2023.24.5.29
Keywords: Object Detection, object tracking, histogram, Singular Value Decomposition -
Hyun-bin Kim, Jun-Chul Chun, Vol. 24, No. 1, pp. 49-59, Feb. 2023
10.7472/jksii.2023.24.1.49
Keywords: Anomaly Detection, Chest Radiograph, computer vision, Semi-supervised learning, Image Feature Modeling -
Bu-Seong Jo, Mun-Suk Kim, Vol. 23, No. 6, pp. 97-105, Dec. 2022
10.7472/jksii.2022.23.6.97
Keywords: ICS, AI, IDS, Data Collection, Model Evaluation -
44. Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering AlgorithmsDa-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 -
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 -
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 -
47. Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster SitesDa-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 -
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 -
49. Bidirectional LSTM based light-weighted malware detection modelusing Windows PE format binary dataKwang-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 -
Da-hyeon Kim, Jun-ho Ahn, Vol. 22, No. 3, pp. 17-26, Jun. 2021
10.7472/jksii.2021.22.3.17
Keywords: Smart home. Intelligent, Abnormal detections, Sensor fusing, algorithm