JICS

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

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