Digital Library

Search: "[ keyword: LSTM ]" (10)
    Comparison of Deep Learning Models Using Protein Sequence Data
    Jeung Min Lee, Hyun Lee KIPS Transactions on Software and Data Engineering, Vol. 11, No. 6, pp. 245-254, Jun. 2022
    https://doi.org/10.3745/KTSDE.2022.11.6.245
    Keywords: CNN, LSTM, GRU, Combined Model, Protein Sequence


    Understanding the Association Between Cryptocurrency Price Predictive Performance and Input Features
    Jaehyun Park, Yeong-Seok Seo KIPS Transactions on Software and Data Engineering, Vol. 11, No. 1, pp. 19-28, Jan. 2022
    https://doi.org/10.3745/KTSDE.2022.11.1.19
    Keywords: LSTM, Deep Learning, Input Feature, Cryptocurrency, Price Prediction, Data Analysis


    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


    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


    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


    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


    Automatic Word Spacing of the Korean Sentences by Using End-to-End Deep Neural Network
    Hyun Young Lee, Seung Shik Kang KIPS Transactions on Software and Data Engineering, Vol. 8, No. 11, pp. 441-448, Nov. 2019
    https://doi.org/10.3745/KTSDE.2019.8.11.441
    Keywords: Syllable Embedding, Bi-LSTM, Feedforward Neural Network, Neural Network Language Model, Linear-Chain CRF


    An LSTM Method for Natural Pronunciation Expression of Foreign Words in Sentences
    Sungdon Kim, Jaehee Jung KIPS Transactions on Software and Data Engineering, Vol. 8, No. 4, pp. 163-170, Apr. 2019
    https://doi.org/10.3745/KTSDE.2019.8.4.163
    Keywords: Postposition, LSTM, Dropout, Overfitting, Final Consonant Pronunciation of Nouns


    Indoor Air Condition Measurement and Regression Analysis System Through Sensor Measurement Device and Gated Recurrent Unit
    Jaehyun Ahn, Dongil Shin, Kyuho Kim, Jihoon Yang KIPS Transactions on Software and Data Engineering, Vol. 6, No. 9, pp. 457-464, Sep. 2017
    10.3745/KTSDE.2017.6.9.457
    Keywords: Atmospheric Observation System, Time Series Prediction, Long-Short Term Memory(LSTM), Circuit Type Circulation Unit(GRU)


Forms



Category Search

Publications


Old Journals


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).

Organization


Related Journals