Suchergebnisse - Conditional variational autoencoder (CAVE)

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  1. 1

    A-CAVE: Network abnormal traffic detection algorithm based on variational autoencoder von Dong, Shi, Su, Huadong, Liu, Yue

    ISSN: 2405-9595, 2405-9595
    Veröffentlicht: Elsevier B.V 01.10.2023
    Veröffentlicht in ICT express (01.10.2023)
    “… Then intrusion detection is studied as an active defense technology. In order to increase the ability of network abnormal traffic detection, a network abnormal traffic detection algorithm based on variational autoencoder is proposed in this paper …”
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    Journal Article
  2. 2

    Enhanced Computational Methods for Detection and Interpretation of Heart Disease Based on Ensemble Learning and Autoencoder Framework von Abdellatif, Abdallah Osama Hamdan

    ISBN: 9798346793489
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2024
    “… Heart disease remains the primary cause of mortality globally, and its early detection is critical for reducing mortality rates. However, the challenge of …”
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    Dissertation
  3. 3

    Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: Data generation, incremental learning, transfer learning, and physics-informed von Li, Guannan, Zhan, Lei, Fang, Xi, Gao, Jiajia, Xu, Chengliang, He, Xin, Deng, Jiahui, Xiong, Chenglong

    ISSN: 0360-5442
    Veröffentlicht: Elsevier Ltd 15.12.2024
    Veröffentlicht in Energy (Oxford) (15.12.2024)
    “… Accurate building energy predictions (BEPs) are crucial for maintaining a built environment's sustainability and energy systems. Many data-driven BEPs rely …”
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    Journal Article