Digital Library
Search: "[ keyword: Deep Learning ]" (75)
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
https://doi.org/10.3745/TKIPS.2025.14.5.289
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
https://doi.org/10.3745/TKIPS.2025.14.4.282
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection
PEFT Methods for Domain Adaptation
Lee You Jin, Yoon Kyung Koo, Chung Woo Dam The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 239-247,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.239
Keywords: Parameter-Efficient Fine-tuning, domain adaptation, Deep Learning, Large Language Model, LoRa, MoRA
https://doi.org/10.3745/TKIPS.2025.14.4.239
Keywords: Parameter-Efficient Fine-tuning, domain adaptation, Deep Learning, Large Language Model, LoRa, MoRA
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
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All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
