Digital Library
Search: "[ keyword: 딥러닝 ]" (64)
Single Shot Detector for Detecting Clickable Object in Mobile Device Screen
Min-Seok Jo, Hye-won Chun, Seong-Soo Han, Chang-Sung Jeong KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 29-34,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.29
Keywords: Test Automation, Android Object Detection, Mobile Screen Detection, computer vision, Deep Learning
https://doi.org/10.3745/KTSDE.2022.11.1.29
Keywords: Test Automation, Android Object Detection, Mobile Screen Detection, computer vision, Deep Learning
A Study on the Deep Learning-Based Textbook Questionnaires Detection Experiment
Kim Tae Jong, Han Tae In, Ji Su Park KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 513-520,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
Fall Detection Based on 2-Stacked Bi-LSTM and Human-Skeleton Keypoints of RGBD Camera
Shin Byung Geun, Kim Uung Ho, Lee Sang Woo, Yang Jae Young, Kim Wongyum KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 491-500,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.491
Keywords: Fall Detection, deep-learning, Skeleton Keypoints, Stacked Bi-LSTM
https://doi.org/10.3745/KTSDE.2021.10.11.491
Keywords: Fall Detection, deep-learning, Skeleton Keypoints, Stacked Bi-LSTM
Leased Line Traffic Prediction Using a Recurrent Deep Neural Network Model
In-Gyu Lee, Mi-Hwa Song KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 10, pp. 391-398,
Oct.
2021
https://doi.org/10.3745/KTSDE.2021.10.10.391
Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM
https://doi.org/10.3745/KTSDE.2021.10.10.391
Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM
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
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
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).
