Digital Library
Search: "[ keyword: 딥러닝 ]" (57)
An Input Transformation with MFCCs and CNN Learning Based Robust Bearing Fault Diagnosis Method for Various Working Conditions
Yangjin Seo KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 4, pp. 179-188,
Apr.
2022
https://doi.org/10.3745/KTSDE.2022.11.4.179
Keywords: Bearing Fault Diagnosis, Deep Learning, Distribution Difference, MFCCs, CNN
https://doi.org/10.3745/KTSDE.2022.11.4.179
Keywords: Bearing Fault Diagnosis, Deep Learning, Distribution Difference, MFCCs, CNN
Image-Based Application Testing Method Using Faster D2-Net for Identification of the Same Image
Chun Hye-Won, Jo Min-Seok, Han Sung-Soo, Jeong Chang-Sung KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 2, pp. 87-92,
Feb.
2022
https://doi.org/10.3745/KTSDE.2022.11.2.87
Keywords: Application Test, Deep Learning, Image matching, Feature matching, Image Compare
https://doi.org/10.3745/KTSDE.2022.11.2.87
Keywords: Application Test, Deep Learning, Image matching, Feature matching, Image Compare
Disease Prediction By Learning Clinical Concept Relations
Seung-Hyeon Jo, Kyung-Soon Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 35-40,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.35
Keywords: Cninical Decision Support, Clinical Concept Relation, Deep Learning, Disaese Prediction, Query Expansion
https://doi.org/10.3745/KTSDE.2022.11.1.35
Keywords: Cninical Decision Support, Clinical Concept Relation, Deep Learning, Disaese Prediction, Query Expansion
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
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).
