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Search: "[ keyword: Deep Learning ]" (67)
Topic Analysis of the National Petition Site and Prediction of Answerable Petitions Based on Deep Learning
Woo Yun Hui, Hyon Hee Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 2, pp. 45-52,
Feb.
2020
https://doi.org/10.3745/KTSDE.2020.9.2.45
Keywords: National Petition, Topic Analysis, topic modeling, K-Means Clustering, LSTM, Deep Learning
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: National Petition, Topic Analysis, topic modeling, K-Means Clustering, LSTM, Deep Learning
Measurement of Construction Material Quantity through Analyzing Images Acquired by Drone And Data Augmentation
Ji-Hwan Moon, Nu-Lee Song, Jae-Gab Choi, Jin-Ho Park, Gye-Young Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 1, pp. 33-38,
Jan.
2020
https://doi.org/10.3745/KTSDE.2020.9.1.33
Keywords: Drone, UAV, RCNN, Deep Learning, Counting Number, Construction Material
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Drone, UAV, RCNN, Deep Learning, Counting Number, Construction Material
Image Processing and Deep Learning Techniquesfor Fast Pig’s Posture Determining and Head Removal
Hanse Ahn, Wonseok Choi, Sunhwa Park, Yongwha Chung, Daihee Park KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 457-464,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.457
Keywords: Real-Time Pig Monitoring, Posture Determining, Head Removal, image processing, Deep Learning, YOLO
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Real-Time Pig Monitoring, Posture Determining, Head Removal, image processing, Deep Learning, YOLO
Camera Model Identification Based on Deep Learning
Soo Hyeon Lee, Dong Hyun Kim, Hae-Yeoun Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 10, pp. 411-420,
Oct.
2019
https://doi.org/10.3745/KTSDE.2019.8.10.411
Keywords: Deep Learning, Camera Model Identification, Convolutional Neural Network, High Pass Filter, Gray Level Co-Occurrence Matrix
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Deep Learning, Camera Model Identification, Convolutional Neural Network, High Pass Filter, Gray Level Co-Occurrence Matrix
Souce Code Identification Using Deep Neural Network
Jisu Rhim, Tamer Abuhmed KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 9, pp. 373-378,
Sep.
2019
https://doi.org/10.3745/KTSDE.2019.8.9.373
Keywords: Computer Forensic, Frequency Based Embedding, TF-IDF, Deep Learning, CNN
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Computer Forensic, Frequency Based Embedding, TF-IDF, Deep Learning, CNN
A Deep Learning Based Over-Sampling Scheme for Imbalanced Data Classification
Son Min Jae, Jung Seung Won, Hwang Een Jun KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 7, pp. 311-316,
Jul.
2019
https://doi.org/10.3745/KTSDE.2019.8.7.311
Keywords: Imbalanced Data, CGAN, Deep Learning, Over-Sampling
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Imbalanced Data, CGAN, Deep Learning, Over-Sampling
Enhanced Sound Signal Based Sound-Event Classification
Yongju Cho, Jonguk Lee, Daihee Park, Yongwha Chung KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 5, pp. 193-204,
May.
2019
10.3745/KTSDE.2019.8.5.193
Keywords: Noise Robustness, Sound Signal Generation, End-to-End Architecture, Deep Learning
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Noise Robustness, Sound Signal Generation, End-to-End Architecture, Deep Learning
A Multilayer Perceptron-Based Electric Load Forecasting Scheme via Effective Recovering Missing Data
Jihoon Moon, Sungwoo Park, Eenjun Hwang KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 2, pp. 67-78,
Feb.
2019
https://doi.org/10.3745/KTSDE.2019.8.2.67
Keywords: Smart Grid, Electric Load Forecasting, Missing Data Handling, Deep Learning
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Smart Grid, Electric Load Forecasting, Missing Data Handling, Deep Learning
Printer Identification Methods Using Global and Local Feature-Based Deep Learning
Soo-Hyeon Lee, Hae-Yeoun Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 1, pp. 37-44,
Jan.
2019
https://doi.org/10.3745/KTSDE.2019.8.1.37
Keywords: Global Feature, Local Feature, Deep Learning, Printer Identification, Convolutional Neural Network
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Global Feature, Local Feature, Deep Learning, Printer Identification, Convolutional Neural Network
A Code Recommendation Method Using RNN Based on Interaction History
Heetae Cho, Seonah Lee, Sungwon Kang KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 12, pp. 461-468,
Dec.
2018
https://doi.org/10.3745/KTSDE.2018.7.12.461
Keywords: software engineering, Deep Learning, Interaction History
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: software engineering, Deep Learning, Interaction History