Digital Library

1. 31. Improving the Accuracy of Additive Manufacturing Processes with a Deep Learning Prediction Model
   Oakyoung Han, Vol. 24, No. 3, pp. 99-106, Jun. 2023
   10.7472/jksii.2023.24.3.99
   Keywords: 3D Printing, Additive manufacturing, Deep Learning, voxelization, adaptive histogram equalization
2. 32. Deep Prediction of Stock Prices with K-Means Clustered Data Augmentation
   Kyounghoon Han, Huigyu Yang, Hyunseung Choo, Vol. 24, No. 2, pp. 67-74, Apr. 2023
   10.7472/jksii.2023.24.2.67
   Keywords: Stock Price Prediction, clustering, data augmentation, Deep Learning, Artificial intelligence
3. 33. 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
4. 34. 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
5. 35. A Comparison Study of RNN, CNN, and GAN Models in Sequential Recommendation
   Ji Hyung Yoon, Jaewon Chung, Beakcheol Jang, Vol. 23, No. 4, pp. 21-33, Aug. 2022
   10.7472/jksii.2022.23.4.21
   Keywords: Recommender System, RNN, CNN, GAN, Deep Learning, sequence modeling
6. 36. 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. 37. Deep Learning-Based Prediction of the Quality of Multiple Concurrent Beams in mmWave Band
   Jun-Hyeok Choi, Mun-Suk Kim, Vol. 23, No. 3, pp. 13-20, Jun. 2022
   10.7472/jksii.2022.23.3.13
   Keywords: mmWave, 802.11ay, beamforming, MU-MIMO, Deep Learning
8. 38. 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. 39. Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks
   Prohim Tam, Sa Math, Seokhoon Kim, Vol. 22, No. 5, pp. 27-33, Oct. 2021
   10.7472/jksii.2021.22.5.27
   Keywords: Deep Learning, Federated learning, Internet of Things, Network Functions Virtualization, Software-Defined Networking
10. 40. 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