Search Results - (( conditional variational autoencoder(cave) ) OR ( conditional variational autoencoder(cae) ))

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  1. 1

    Inverse structural design with generative and probabilistic autoencoders and diffusion models by Zhuang, Bozhou, Gallet, Adrien, Smyl, Danny

    ISSN: 0952-1976
    Published: Elsevier Ltd 01.12.2025
    “… Three generative ML models, including conditional variational autoencoder (CVAE), conditional autoencoder with maximum likelihood estimation (CAE-MLE…”
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    Journal Article
  2. 2

    F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder by Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J.

    ISSN: 2379-190X
    Published: IEEE 01.05.2020
    “… Recently, AU-TOVC, a conditional autoencoders (CAEs) based method achieved state-of-the-art results by disentangling the speaker identity and speech content using…”
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    Conference Proceeding
  3. 3

    Fast Prediction of Airfoil Aerodynamic Characteristics Based on a Combined Autoencoder by Wang, Xu, Qian, Weiqi, Zhao, Tun, He, Lei, Chen, Hai, Sun, Haisheng, Tian, Yuan, Cui, Jinlei

    ISSN: 2073-8994, 2073-8994
    Published: Basel MDPI AG 01.07.2024
    Published in Symmetry (Basel) (01.07.2024)
    “… To solve these problems, a combined autoencoder (CAE) network is proposed in this paper, which can achieve the fast prediction of airfoil aerodynamic coefficients and pressure distributions…”
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    Journal Article
  4. 4

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

    ISSN: 2405-9595, 2405-9595
    Published: Elsevier B.V 01.10.2023
    Published 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
  5. 5

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

    ISBN: 9798346793489
    Published: 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
  6. 6

    F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder by Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 15.04.2020
    Published in arXiv.org (15.04.2020)
    “… Recently, AutoVC, a conditional autoencoders (CAEs) based method achieved state-of-the-art results by disentangling the speaker identity and speech content using…”
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    Paper
  7. 7

    Unknown Cyber Threat Discovery Empowered by Genetic Evolution Without Prior Knowledge by Fang, Wenbo, He, Junjiang, Li, Wenshan, Ma, Wengang, Zhang, Linlin, Lan, Xiaolong, Yang, Geying, Chen, Jiangchuan, Li, Tao

    ISSN: 1556-6013, 1556-6021
    Published: IEEE 2025
    “…With the continuous development of cyber-attack technologies, attackers increasingly exploit zero-day vulnerabilities or leverage emerging techniques to launch…”
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    Journal Article
  8. 8

    Tool wear recognition and signal labeling with small cross-labeled samples in impeller machining by Ou, Jiayu, Li, Hongkun, Wang, Zhaodong, Yang, Chao, Peng, Defeng

    ISSN: 0268-3768, 1433-3015
    Published: London Springer London 01.12.2022
    “… At the same time, the variational autoencoder is used to convert the one…”
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    Journal Article
  9. 9

    Generative inverse design of multimodal resonant structures for locally resonant metamaterials by Dedoncker, Sander, Donner, Christian, Bischof, Raphael, Taenzer, Linus, Van Damme, Bart

    ISSN: 0177-0667, 1435-5663
    Published: London Springer London 01.08.2025
    Published in Engineering with computers (01.08.2025)
    “… Our data science-based method uses a conditional variational autoencoder to identify non-trivial patterns between design variables of complex-shaped resonators and their modal effective parameters…”
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    Journal Article
  10. 10

    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 by Li, Guannan, Zhan, Lei, Fang, Xi, Gao, Jiajia, Xu, Chengliang, He, Xin, Deng, Jiahui, Xiong, Chenglong

    ISSN: 0360-5442
    Published: Elsevier Ltd 15.12.2024
    Published 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