Digital Library
Search: "[ keyword: Deep Learning ]" (32)
Distributed Edge Computing for DNA-Based Intelligent Services and Applications: A Review
Temesgen Seyoum Alemayehu, We-Duke Cho KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 12, pp. 291-306,
Dec.
2020
https://doi.org/10.3745/KTCCS.2020.9.12.291
Keywords: IoT, Deep Learning, Edge Computing, Distributed Training, DNA

Keywords: IoT, Deep Learning, Edge Computing, Distributed Training, DNA
CNN-Based Novelty Detection with Effectively Incorporating Document-Level Information
Seongung Jo, Heung-Seon Oh, Sanghun Im, Seonho Kim KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 10, pp. 231-238,
Oct.
2020
https://doi.org/10.3745/KTCCS.2020.9.10.231
Keywords: Deep Learning, CNN, Novelty Detection

Keywords: Deep Learning, CNN, Novelty Detection
Cooperative Multi-Agent Reinforcement Learning-Based Behavior Control of Grid Sortation Systems in Smart Factory
HoBin Choi, JuBong Kim, GyuYoung Hwang, KwiHoon Kim, YongGeun Hong, YounHee Han KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 8, pp. 171-180,
Aug.
2020
https://doi.org/10.3745/KTCCS.2020.9.8.171
Keywords: Deep Learning, Reinforcement Learning, Sortation System, Cooperative Multi-Agent

Keywords: Deep Learning, Reinforcement Learning, Sortation System, Cooperative Multi-Agent
Fully Automatic Heart Segmentation Model Analysis Using Residual Multi-Dilated Recurrent Convolutional U-Net
Sang Heon Lim, Myung Suk Lee KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 2, pp. 37-44,
Feb.
2020
10.3745/KTCCS.2020.9.2.37
Keywords: Deep Learning, Artificial intelligence, Heart Segmentation, algorithm, ANN, CNN

Keywords: Deep Learning, Artificial intelligence, Heart Segmentation, algorithm, ANN, CNN
Smart IoT Home Data Analysis and Device Control Algorithm Using Deep Learning
Sang-Hyeong Lee KIPS Transactions on Computer and Communication Systems,
Vol. 7, No. 4, pp. 103-110,
Apr.
2018
10.3745/KTCCS.2018.7.4.103
Keywords: Smart Home System, Deep Learning, Deep Neural Network

Keywords: Smart Home System, Deep Learning, Deep Neural Network
Video Classification System Based on Similarity Representation Among Sequential Data
Hosuk Lee, Jihoon Yang KIPS Transactions on Computer and Communication Systems,
Vol. 7, No. 1, pp. 1-8,
Jan.
2018
10.3745/KTCCS.2018.7.1.1
Keywords: Deep Learning, Video Classification, Similarity Measure, Representation Learning

Keywords: Deep Learning, Video Classification, Similarity Measure, Representation Learning
Study on DNN Based Android Malware Detection Method for Mobile Environment
Jinhyun Yu, In Hyuk Seo, Seungjoo Kim KIPS Transactions on Computer and Communication Systems,
Vol. 6, No. 3, pp. 159-168,
Mar.
2017
10.3745/KTCCS.2017.6.3.159
Keywords: Smartphone, Android, Malware Detection, Deep Learning

Keywords: Smartphone, Android, Malware Detection, Deep Learning
CNN Based Real-Time DNS DDoS Attack Detection System
In Hyuk Seo, Ki-Taek Lee, Jinhyun Yu, Seungjoo Kim KIPS Transactions on Computer and Communication Systems,
Vol. 6, No. 3, pp. 135-142,
Mar.
2017
10.3745/KTCCS.2017.6.3.135
Keywords: Deep Learning, DNS DDoS Attack, Real-Time Detection System, DNS Amplification Attack

Keywords: Deep Learning, DNS DDoS Attack, Real-Time Detection System, DNS Amplification Attack
Label Differential Privacy Study for Privacy Protection in Multimodal Contrastive Learning Model
Youngseo Kim, Minseo Yu, Younghan Lee, Ho Bae The Transactions of the Korea Information Processing Society,
Vol. 14, No. 5, pp. 289-296,
May.
2025
https://doi.org/10.3745/TKIPS.2025.14.5.289
Keywords: Differential privacy, multimodal deep learning, contrastive learning, data privacy

Keywords: Differential privacy, multimodal deep learning, contrastive learning, data privacy
Transformer-based Short-term Drought Prediction with Feature Selection
Seo Jae Hyun The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 282-288,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.282
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection

Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection