Digital Library
Search: "[ keyword: Deep Learning ]" (29)
Solar Power Generation Forecasting using a Hybrid LSTM-Linear Model with Multi-Head Attention
Hyeonseok Jin, David J. Richter, MD Ilias Bappi, Kyungbaek Kim The Transactions of the Korea Information Processing Society,
Vol. 14, No. 2, pp. 123-133,
Feb.
2025
https://doi.org/10.3745/TKIPS.2025.14.2.123
Keywords: Solar Power Prediction, Power generation, prediction, Time Series, Deep Learning
https://doi.org/10.3745/TKIPS.2025.14.2.123
Keywords: Solar Power Prediction, Power generation, prediction, Time Series, Deep Learning
ADaPT: An Automated Dataloader Parameter Tuning Framework using AVL Tree-based Search Algorithms
MyungHoon Ryu, XinYu Piao, JooYoung Park, DoangJoo Synn, Jong-Kook Kim The Transactions of the Korea Information Processing Society,
Vol. 14, No. 1, pp. 1-8,
Jan.
2025
https://doi.org/10.3745/TKIPS.2025.14.1.1
Keywords: Deep Learning, AVL-Tree Search Algorithm, data loader, Parameter Tuning
https://doi.org/10.3745/TKIPS.2025.14.1.1
Keywords: Deep Learning, AVL-Tree Search Algorithm, data loader, Parameter Tuning
Lightweighting Techniques to Improve Real-time Recognition Performance of License Plate Using IP Cameras with Low-end NPUs
Ju-Hwan Han, Gye-Young Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 11, pp. 645-653,
Nov.
2024
https://doi.org/10.3745/TKIPS.2024.13.11.645
Keywords: Lightweighting, Deep Learning, Vehicle Number Recognition, Performance Improvement, Real-Time
https://doi.org/10.3745/TKIPS.2024.13.11.645
Keywords: Lightweighting, Deep Learning, Vehicle Number Recognition, Performance Improvement, Real-Time
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
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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).
