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Search: "[ keyword: 딥러닝 ]" (34)

1. Cyberattack Goal Classification Based on MITRE ATT&CK: CIA Labeling

Chan Ho Shin, Chang-hee Choi, Vol. 23, No. 6, pp. 15-26, Dec. 2022
10.7472/jksii.2022.23.6.15
Keywords: Labeling, Machine Learning, Deep Learning, MITRE ATT&CK, TTP, CIA triad
2. 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
3. Deep Learning based Abnormal Vibration Prediction of Drone

Jun-Ki Hong, Yang-Kyoo Lee, Vol. 22, No. 3, pp. 67-73, Jun. 2021
10.7472/jksii.2021.22.3.67
Keywords: Deep Learning, RNN, LSTM, Drone, Motor, Vibration
4. 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
5. Deep Learning-Based User Emergency Event Detection Algorithms Fusing Vision, Audio, Activity and Dust Sensors

Ju-ho Jung, Do-hyun Lee, Seong-su Kim, Jun-ho Ahn, Vol. 21, No. 5, pp. 109-118, Oct. 2020
10.7472/jksii.2020.21.5.109
Keywords: vision, Audio, Activity, Dust, Sensors, Deep Learning, abnormal event, patterns
6. An LSTM Neural Network Model for Forecasting Daily Peak Electric Load of EV Charging Stations

Haesung Lee, Byungsung Lee, Hyun Ahn, Vol. 21, No. 5, pp. 119-127, Oct. 2020
10.7472/jksii.2020.21.5.119
Keywords: EV, Peak electric load, Load forecasting, Deep Learning, LSTM
7. A Comparative Study on the Effective Deep Learning for Fingerprint Recognition with Scar and Wrinkle

JunSeob Kim, BeanBonyka Rim, Nak-Jun Sung, Min Hong, Vol. 21, No. 4, pp. 17-23, Aug. 2020
10.7472/jksii.2020.21.4.17
Keywords: Deep Learning, Biometric information, 2D Convolutional Neural Network, discriminating of scar fingerprint, discriminating of wrinkle fingerprint
8. Design of Video Pre-processing Algorithm for High-speed Processing of Maritime Object Detection System and Deep Learning based Integrated System

Hyun-hak Song, Hyo-chan Lee, Sung-ju Lee, Ho-seok Jeon, Tae-ho Im, Vol. 21, No. 4, pp. 117-126, Aug. 2020
10.7472/jksii.2020.21.4.117
Keywords: Ship Detection, Deep Learning, image processing, Binarization, Horizon Detection, Multi Connected-component Labeling
9. Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events

Ju-ho Jung, Da-hyeon Kim, Chul-su Kim, Ryum-duck Oh, Jun-ho Ahn, Vol. 21, No. 4, pp. 109-116, Aug. 2020
10.7472/jksii.2020.21.4.109
Keywords: Rapid-transit railway, Railway, Deep Learning, Fusion
10. LSTM-based Business Process Remaining Time Prediction Model Featured in Activity-centric Normalization Techniques

Seong-Hun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 21, No. 3, pp. 83-92, Jun. 2020
10.7472/jksii.2020.21.3.83
Keywords: predictive process monitoring, remaining time prediction, LSTM model, Deep Learning, Process Mining

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