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Search: "[ keyword: Learning ]" (262)
    Predicting Win-Loss of League of Legends Using Bidirectional LSTM Embedding
    Cheolgi Kim, Soowon Lee KIPS Transactions on Software and Data Engineering, Vol. 9, No. 2, pp. 61-68, Feb. 2020
    https://doi.org/10.3745/KTSDE.2020.9.2.61
    Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM


    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


    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


    Generating Training Dataset of Machine Learning Model for Context-Awareness in a Health Status Notification Service
    Jong Hyeok Mun, Jong Sun Choi, Jae Young Choi KIPS Transactions on Software and Data Engineering, Vol. 9, No. 1, pp. 25-32, Jan. 2020
    https://doi.org/10.3745/KTSDE.2020.9.1.25
    Keywords: context-awareness, Machine Learning Model, Generating Training Dataset, Maintaining Accuracy


    Development of Joint-Based Motion Prediction Modelfor Home Co-Robot Using SVM
    Sungyeob Yoo, Dong-Yeon Yoo, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 491-498, Dec. 2019
    https://doi.org/10.3745/KTSDE.2019.8.12.491
    Keywords: Machine Learning, IoT, Digital Twin, Big data, Co-Robot


    Network Intrusion Detection System Using Feature Extraction Based on AutoEncoder in IOT environment
    Joohwa Lee, Keehyun Park KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 483-490, Dec. 2019
    https://doi.org/10.3745/KTSDE.2019.8.12.483
    Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder


    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


    A Study on Machine Learning Algorithm Suitable for Automatic Crack Detection in Wall-Climbing Robot
    Jae-Min Park, Hyun-Seop Kim, Dong-Ho Shin, Myeong-Suk Park, Sang-Hoon Kim KIPS Transactions on Software and Data Engineering, Vol. 8, No. 11, pp. 449-456, Nov. 2019
    https://doi.org/10.3745/KTSDE.2019.8.11.449
    Keywords: Wall-Climbing Robot, Crack Detection Algorithms, Machine Learning, localization


    Prediction Model for Hypertriglyceridemia Based on Naive Bayes Using Facial Characteristics
    Lee Juwon, Lee Bum Ju KIPS Transactions on Software and Data Engineering, Vol. 8, No. 11, pp. 433-440, Nov. 2019
    https://doi.org/10.3745/KTSDE.2019.8.11.433
    Keywords: Machine Learning, Facial Characteristics, Hypertriglyceridemia, Predictive model


    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


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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

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