Digital Library


Search: "[ keyword: LSTM ]" (11)

  1. Network Anomaly Traffic Detection UsingWGAN-CNN-BiLSTM in Big Data Cloud–EdgeCollaborative Computing Environment
    Yue Wang
    Vol. 20, No. 3, pp. 375-390, Jun. 2024
    10.3745/JIPS.01.0105

    Keywords: Abnormal Traffic Mining, Big data, BiLSTM, Cloud–Edge Collaborative Computing, CNN, Wasserstein Generative Adversarial Networks

  2. 1D-CNN-LSTM Hybrid-Model-Based Pet Behavior Recognition through Wearable Sensor Data Augmentation
    Hyungju Kim, Nammee Moon
    Vol. 20, No. 2, pp. 159-172, Apr. 2024
    10.3745/JIPS.02.0211

    Keywords: Behavior Recognition, CNN-LSTM, data augmentation, Deep Learning, Sensor data, wearable device

  3. Research on Chinese Microblog Sentiment Classification Based on TextCNN-BiLSTM Model
    Haiqin Tang, Ruirui Zhang
    Vol. 19, No. 6, pp. 842-857, Dec. 2023
    10.3745/JIPS.04.0299

    Keywords: Chinese Microblog Review, Deep Learning, Sentiment Classification, TextCNN-BiLSTM

  4. A Network Intrusion Security Detection Method Using BiLSTM-CNN in Big Data Environment
    Hong Wang
    Vol. 19, No. 5, pp. 688-701, Oct. 2023
    10.3745/JIPS.01.0097

    Keywords: Big data, BiLSTM, CNN, Feature selection, Network intrusion detection

  5. A Novel Framework Based on CNN-LSTM Neural Network for Prediction of Missing Values in Electricity Consumption Time-Series Datasets
    Syed Nazir Hussain, Azlan Abd Aziz, Md. Jakir Hossen, Nor Azlina Ab Aziz, G. Ramana Murthy, Fajaruddin Bin Mustakim
    Vol. 18, No. 1, pp. 115-129, Feb. 2022
    10.3745/JIPS.04.0235

    Keywords: CNN-LSTM Neural Network, Electricity Consumption Prediction, Large Gaps of Missing Values, Prediction of Missing Values in Time-Series Data, smart home system

  6. Multi-channel Long Short-Term Memory with Domain Knowledge for Context Awareness and User Intention
    Dan-Bi Cho, Hyun-Young Lee, Seung-Shik Kang
    Vol. 17, No. 5, pp. 867-878, Oct. 2021
    10.3745/JIPS.02.0163

    Keywords: Context Awareness, domain adaptation, Multi-channel LSTM, User Intention

  7. The Method for Generating Recommended Candidates through Prediction of Multi-Criteria Ratings Using CNN-BiLSTM
    Jinah Kim, Junhee Park, Minchan Shin, Jihoon Lee, Nammee Moon
    Vol. 17, No. 4, pp. 707-720, Aug. 2021
    10.3745/JIPS.02.0159

    Keywords: Bidirectional Long Short-Term Memory (BiLSTM), Convolutional Neural Network (CNN), Multi-Criteria Recommendation System, Recommendation System

  8. A Graph Embedding Technique for Weighted Graphs Based on LSTM Autoencoders
    Minji Seo, Ki Yong Lee
    Vol. 16, No. 6, pp. 1407-1423, Dec. 2020
    10.3745/JIPS.04.0197

    Keywords: Graph Embedding, Graph Similarity, LSTM Autoencoder, Weighted Graph Embedding, Weighted Graph

  9. Two-Dimensional Attention-Based LSTM Model for Stock Index Prediction
    Yeonguk Yu, Yoon-Joong Kim
    Vol. 15, No. 5, pp. 1231-1242, Oct. 2019
    10.3745/JIPS.02.0121

    Keywords: Attention Mechanism, LSTM, Stock Index Prediction, Two-Dimensional Attention

  10. CNN-LSTM Coupled Model for Prediction of Waterworks Operation Data
    Kerang Cao, Hangyung Kim, Chulhyun Hwang, Hoekyung Jung
    Vol. 14, No. 6, pp. 1508-1520, Dec. 2018
    10.3745/JIPS.02.0104

    Keywords: Big data, CNN, Correlation Analysis, Deep-Learning, LSTM

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JIPS Awards 2023


Most-cited Paper
RAVIP: Real-Time AI Vision Platform for Heterogeneous Multi-Channel Video Stream
Jeonghun Lee and Kwang-il Hwang* (INCHEON NATIONAL UNIVERSITY)

* 2021.1.1~2023.10.31

Most-published Paper (Corresponding Author)
Ruirui Zhang (Sichuan Agricultural University, China)

* 2021.1.1~2023.10.31

Excellent Service Award (Associate Editor Activity)
Yan Li (Inha University, Korea)

JIPS Awards 2022


Most-cited Paper
SkelGAN: A Font Image Skeletonization Method
Debbie Honghee Ko, Ammar Ul Hassan, Saima Majeed, Jaeyoung Choi*(Soongsil University)

* 2021.1.1~2022.10.31

Most-published Paper (Corresponding Author)
Jin Gon Shon (Korea National Open University, Korea)

* 2021.1.1~2022.10.31

Excellent Service Award (Associate Editor Activity)
Yeongwook Yang (Hanshin University, Korea)

JIPS Awards 2021


Most-cited Paper
"Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing"
Hamoud Alshammari, Sameh Abd El-Ghany, and Abdulaziz Shehab* (Jouf University, Saudi Arabia)

* 2020. 10.1 ~ 2021. 12. 31

Publication (Corresponding Author)
Yoojae Won (Chungnam National University, Korea)

* 2020. 12.1 ~ 2021. 12. 31

AE Activity
Jungho Kang (Baewha Women's University, Korea)

JIPS Awards 2020


Most-cited Paper
"Cyber Kill Chain-Based Taxonomy of Advanced Persistent Threat Actors: Analogy of Tactics, Techniques, and Procedures"
Pooneh Nikkhah Bahrami, Ali Dehghantanha, Tooska Dargahi, Reza M. Parizi, Kim-Kwang Raymond Choo*, Hamid H. S. Javadi (University of Texas at San Antonio)

* 2019. 1.1 ~ 2020. 8. 31

Publication (Corresponding Author)
Guoqing Xu (Nanyang Institute of Technology, China)
Liquan zhao (Northeast Electric Power University, China)

* 2019. 1.1 ~ 2020. 10. 31

AE Activity
Ji Su Park (Jeonju University, Korea)

The 2nd Journal of Information Processing Systems Awards (2018)


Most-cited Paper
"Block-VN: A Distributed Blockchain Based Vehicular Network Architecture in Smart City"
Pradip Kumar Sharma, Seo Yeon Moon and Jong Hyuk Park (Seoul National University of Science and Technology, Korea)

Publication (Corresponding Author)
Chengyou Wang (Shangdong University, China)

AE Activity
Yunsick Sung (Dongguk University, Korea)

JIPS Awards 2017


Most-cited Paper
"Mitigating Threats and Security Metrics in Cloud Computing" Jayaprakash Kar and Manoj Ranjan Mishra (King Abdulaziz University, Saudi Arabia)

Publication (Corresponding Author)
Jeong-Joon Kim (Korea Polytechnic University, Korea)

AE Activity
Byoung Wook Kim (Korea University, Korea)

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