Digital Library
Search: "[ keyword: Deep Learning ]" (26)
A Deep Learning System for Emotional Cat Sound Classification and Generation
Joo Yong Shim, SungKi Lim, Jong-Kook Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 10, pp. 492-496,
Oct.
2024
https://doi.org/10.3745/TKIPS.2024.13.10.492
Keywords: Audio Classification, Audio Generation, Animal Emotion Recognition, SampleRNN, Deep Learning System
https://doi.org/10.3745/TKIPS.2024.13.10.492
Keywords: Audio Classification, Audio Generation, Animal Emotion Recognition, SampleRNN, Deep Learning System
Personalized Cross-Domain Recommendation of Books Based on Video Consumption Data
Yea Bin Lim, Hyon Hee Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 8, pp. 382-387,
Aug.
2024
https://doi.org/10.3745/TKIPS.2024.13.8.382
Keywords: Cross Domain, hybrid recommendation system, Word2vec, Personalization, Deep Learning
https://doi.org/10.3745/TKIPS.2024.13.8.382
Keywords: Cross Domain, hybrid recommendation system, Word2vec, Personalization, Deep Learning
Development of a Deep Learning-based Midterm PM2.5 Prediction Model Adapting to Trend Changes
Dong Jun Min, Hyerim Kim, Sangkyun Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 251-259,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
Search Re-ranking Through Weighted Deep Learning Model
Gi-Taek An, Woo-Seok Choi, Jun-Yong Park, Jung-Min Park, Kyung-Soon Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 5, pp. 221-226,
May.
2024
https://doi.org/10.3745/TKIPS.2024.13.5.221
Keywords: Information Retrieval, Deep Learning Model, DeBERTa, Product Search
https://doi.org/10.3745/TKIPS.2024.13.5.221
Keywords: Information Retrieval, Deep Learning Model, DeBERTa, Product Search
A Study on Leakage Detection Technique Using Transfer Learning-Based Feature Fusion
YuJin Han, Tae-Jin Park, Jonghyuk Lee, Ji-Hoon Bae The Transactions of the Korea Information Processing Society,
Vol. 13, No. 2, pp. 41-47,
Feb.
2024
https://doi.org/10.3745/TKIPS.2024.13.2.41
Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning
https://doi.org/10.3745/TKIPS.2024.13.2.41
Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning
Research on Artificial Intelligence Based Shipping Container Loading Safety Management System
Kim Sang Woo, Oh Se Yeong, Seo Yong Uk, Yeon Jeong Hum, Cho Hee Jeong, Youn Joosang KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 9, pp. 273-282,
Sep.
2023
https://doi.org/10.3745/KTCCS.2023.12.9.273
Keywords: Intelligent Port Safety Technology, Shipping Container, Object Detection, Deep Learning, YOLO
https://doi.org/10.3745/KTCCS.2023.12.9.273
Keywords: Intelligent Port Safety Technology, Shipping Container, Object Detection, Deep Learning, YOLO
Semantic Segmentation Intended Satellite Image Enhancement Method Using Deep Auto Encoders
K. Dilusha Malintha De Silva, Hyo Jong Lee KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 8, pp. 243-252,
Aug.
2023
10.3745/KTCCS.2023.12.8.243
Keywords: image enhancement, Auto-Encoders, Semantic segmentation, Deep Learning
10.3745/KTCCS.2023.12.8.243
Keywords: image enhancement, Auto-Encoders, Semantic segmentation, Deep Learning
Preprocessing Technique for Malicious Comments Detection Considering the Form of Comments Used in the Online Community
Kim Hae Soo, Kim Mi Hui KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 3, pp. 103-110,
Mar.
2023
https://doi.org/10.3745/KTCCS.2023.12.3.103
Keywords: Natural Languege Processing, Preprocessing, Deep Learning, Malicious Comment
https://doi.org/10.3745/KTCCS.2023.12.3.103
Keywords: Natural Languege Processing, Preprocessing, Deep Learning, Malicious Comment
A Study on the Design and Implementation of a Thermal Imaging Temperature Screening System for Monitoring the Risk of Infectious Diseases in Enclosed Indoor Spaces
Jae-Young Jung, You-Jin Kim KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 2, pp. 85-92,
Feb.
2023
https://doi.org/10.3745/KTCCS.2023.12.2.85
Keywords: Enclosed Indoor Spaces, Respiratory Infections, Deep Learning, Thermal Image, Body Temperature Screening
https://doi.org/10.3745/KTCCS.2023.12.2.85
Keywords: Enclosed Indoor Spaces, Respiratory Infections, Deep Learning, Thermal Image, Body Temperature Screening
Shipping Container Load State and Accident Risk Detection Techniques Based Deep Learning
Yeon Jeong Hum, Seo Yong Uk, Kim Sang Woo, Oh Se Yeong, Jeong Jun Ho, Park Jin Hyo, Kim Sung-Hee, Youn Joosang KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 11, pp. 411-418,
Nov.
2022
https://doi.org/10.3745/KTCCS.2022.11.11.411
Keywords: Shipping Container, Yolov4, Deep Learning, Object Detection
https://doi.org/10.3745/KTCCS.2022.11.11.411
Keywords: Shipping Container, Yolov4, Deep Learning, Object Detection
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
