JICS

Digital Library

Search: "[ keyword: CNN ]" (10)

1. Research on DNS DRDoS Detection Methods Using CNN

Hoon Shin, Jaeyeong Jeong, Kyu-min Cho, Jae-il Lee, Dong-kyoo Shin, Vol. 25, No. 6, pp. 131-145, Dec. 2024
10.7472/jksii.2024.25.6.131
Keywords: AI Security, Artificial intelligence, Machine Learning, Deep Learning, CNN, DDoS, DrDoS, image processing, Image Classification
2. Data Efficient Image Classification for Retinal Disease Diagnosis

Honggu Kang, Huigyu Yang, Moonseong Kim, Hyunseung Choo, Vol. 25, No. 3, pp. 19-25, Jun. 2024
10.7472/jksii.2024.25.3.19
Keywords: Ocular disease diagnosis and classification, CFI, CNN, Deep Learning, Artificial intelligence
3. 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
4. A Research on Network Intrusion Detection based on Discrete Preprocessing Method and Convolution Neural Network

JiHoon Yoo, Byeongjun Min, Sangsoo Kim, Dongil Shin, Dongkyoo Shin, Vol. 22, No. 2, pp. 29-39, Apr. 2021
10.7472/jksii.2021.22.2.29
Keywords: NSL-KDD, Network intrusion detection, CNN, Discretization of Continuous
5. Empirical Comparison of Deep Learning Networks on Backbone Method of Human Pose Estimation

Beanbonyka Rim, Junseob Kim, Yoo-Joo Choi, Min Hong, Vol. 21, No. 5, pp. 21-29, Oct. 2020
10.7472/jksii.2020.21.5.21
Keywords: Deep Learning, Human Pose Estimation, CNN, VGG, ResNet
6. A Study on Model for Drivable Area Segmentation based on Deep Learning

Hyo-jin Jeon, Soo-sun Cho, Vol. 20, No. 5, pp. 105-111, Oct. 2019
10.7472/jksii.2019.20.5.105
Keywords: Drivable area segmentation, segmentation, Deep Learning, DeepLab V3+, Mask R-CNN, BDD Dataset
7. Pedestrian Classification using CNN's Deep Features and Transfer Learning

Soyoung Chung, Min Gyo Chung, Vol. 20, No. 4, pp. 91-102, Aug. 2019
10.7472/jksii.2019.20.4.91
Keywords: Pedestrian Classification, Transfer Learning, Deep Features, CNN, INRIA Person Data Set
8. A Study on the Pipe Position Estimation in GPR Images Using Deep Learning Based Convolutional Neural Network

Jihun Chae, Hyoung-yong Ko, Byoung-gil Lee, Namgi Kim, Vol. 20, No. 4, pp. 39-46, Aug. 2019
10.7472/jksii.2019.20.4.39
Keywords: sink holes, pipe, GPR, Image recognition, underground detection, CNN, deep-learning
9. Visualization of Malwares for Classification Through Deep Learning

Hyeonggyeom Kim, Seokmin Han, Suchul Lee, Jun-Rak Lee, Vol. 19, No. 5, pp. 67-75, Oct. 2018
10.7472/jksii.2018.19.5.67
Keywords: Malware visualization, mawlare detection and classification, Deep Learning, CNN
10. A Search Interval Limitation Technique for Improved Search Performance of CNN

Seok Han, Duk-Shin Oh, Jong-Wan Kim, Vol. 9, No. 3, pp. 1-8, Jun. 2008
Keywords: Nearest Neighbor, CNN(Continuous NN), Slab, Location-Based Services