Digital Library
Search: "[ keyword: Deep Learning ]" (69)
Deep Learning Model Validation Method Based on Image Data Feature Coverage
Chang-Nam Lim, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 375-384,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.375
Keywords: Deep Learning, Coverage Testing, Image Feature Extraction, Validation Method, Dataset Splitting Method
https://doi.org/10.3745/KTSDE.2021.10.9.375
Keywords: Deep Learning, Coverage Testing, Image Feature Extraction, Validation Method, Dataset Splitting Method
Deep Learning-Based Stock Fluctuation Prediction According to Overseas Indices and Trading Trend by Investors
Tae Seung Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 367-374,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
LSTM(Long Short-Term Memory)-Based AbnormalBehavior Recognition Using AlphaPose
Hyun-Jae Bae, Gyu-Jin Jang, Young-Hun Kim, Jin-Pyung Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 5, pp. 187-194,
May.
2021
https://doi.org/10.3745/KTSDE.2021.10.5.187
Keywords: Safety management, Action Recognition, Pose Estimation, LSTM, Deep Learning
https://doi.org/10.3745/KTSDE.2021.10.5.187
Keywords: Safety management, Action Recognition, Pose Estimation, LSTM, Deep Learning
Deep Learning Models for Autonomous Crack Detection System
Ji HongGeun, Kim Jina, Hwang Syjung, Kim Dogun, Park Eunil, Kim Young Seok, Ryu Seung Ki KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 5, pp. 161-168,
May.
2021
https://doi.org/10.3745/KTSDE.2021.10.5.161
Keywords: Surface Inspection, Crack Detection, computer vision, Deep Learning
https://doi.org/10.3745/KTSDE.2021.10.5.161
Keywords: Surface Inspection, Crack Detection, computer vision, Deep Learning
Deep Learning Description Language for Referring to Analysis Model Based on Trusted Deep Learning
Jong Hyeok Mun, Do Hyung Kim, Jong Sun Choi, Jae Young Choi KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 4, pp. 133-142,
Apr.
2021
https://doi.org/10.3745/KTSDE.2021.10.4.133
Keywords: Trusted Deep Learning, Model Reference, Deep Learning Description Language, Traffic Situation Analysis Model
https://doi.org/10.3745/KTSDE.2021.10.4.133
Keywords: Trusted Deep Learning, Model Reference, Deep Learning Description Language, Traffic Situation Analysis Model
1D CNN and Machine Learning Methods for Fall Detection
Inkyung Kim, Daehee Kim, Song Noh, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 3, pp. 85-90,
Mar.
2021
https://doi.org/10.3745/KTSDE.2021.10.3.85
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network
https://doi.org/10.3745/KTSDE.2021.10.3.85
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network
Hangul Font Dataset for Korean Font Research Based on Deep Learning
Debbie Honghee Ko, Hyunsoo Lee, Jungjae Suk, Ammar Ul Hassan, Jaeyoung Choi KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 2, pp. 73-78,
Feb.
2021
https://doi.org/10.3745/KTSDE.2021.10.2.73
Keywords: Deep Learning, Font Data, Automatic Font Generation, Hangul Font Dataset, Hangul Font
https://doi.org/10.3745/KTSDE.2021.10.2.73
Keywords: Deep Learning, Font Data, Automatic Font Generation, Hangul Font Dataset, Hangul Font
Improved Network Intrusion Detection Model through Hybrid Feature Selection and Data Balancing
Byeongjun Min, Jihun Ryu, Dongkyoo Shin, Dongil Shin KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 2, pp. 65-72,
Feb.
2021
https://doi.org/10.3745/KTSDE.2021.10.2.65
Keywords: Intrusion Dectection, Deep Learning, Over Sampling, Feature selection
https://doi.org/10.3745/KTSDE.2021.10.2.65
Keywords: Intrusion Dectection, Deep Learning, Over Sampling, Feature selection
Double Encoder-Decoder Model for Improving the Accuracy of the Electricity Consumption Prediction in Manufacturing
Yeongchang Cho, Byung Gill Go, Jong Hoon Sung, Yeong Sik Cho KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 12, pp. 419-430,
Dec.
2020
https://doi.org/10.3745/KTSDE.2020.9.12.419
Keywords: Time-Series Forecasting, Deep Learning, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.12.419
Keywords: Time-Series Forecasting, Deep Learning, Machine Learning
Real Time Face detection Method Using TensorRT and SSD
Hye-Bin Yoo, Myeong-Suk Park, Sang-Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 323-328,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.323
Keywords: Tensorflow, TensorRT, Deep Learning, SSD, Object Detection
https://doi.org/10.3745/KTSDE.2020.9.10.323
Keywords: Tensorflow, TensorRT, Deep Learning, SSD, Object Detection
Indexing
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).
