Výsledky vyhľadávania - TCN–Autoencoder

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  1. 1

    Multi-output TCN autoencoder for long-term pollution forecasting for multiple sites Autor Samal, K. Krishna Rani, Panda, Ankit Kumar, Babu, Korra Sathya, Das, Santos Kumar

    ISSN: 2212-0955, 2212-0955
    Vydavateľské údaje: Elsevier B.V 01.09.2021
    Vydané v Urban climate (01.09.2021)
    “…•PM2.5 and PM10 are two major contributors to air pollution.•R-MIMO strategy can improve the long-term pollutant forecasting performance.•Multi-output learning…”
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    Journal Article
  2. 2

    Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information Autor Asahi, Shota, Karadogan, Celalettin, Tamura, Satoshi, Hayamizu, Satoru, Liewald, Mathias

    ISSN: 1757-8981, 1757-899X
    Vydavateľské údaje: Bristol IOP Publishing 01.06.2021
    “… In this paper, we propose a method to estimate wear state of punches using Temporal Convolutional Network Autoencoder (TCN-Autoencoder…”
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    Journal Article
  3. 3

    Anomaly Detection of Gas Pipeline Operational Data Using TCN-Autoencoder and LSTM-Autoencoder Models Autor Gde Pradnyana, Anak Agung, Ihsan, Aditya Firman, Hasmawati

    Vydavateľské údaje: IEEE 03.07.2025
    “…Anomalies in gas pipeline systems, such as undetected small leaks, are often the primary triggers of major failures that impact operational safety and the…”
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    Konferenčný príspevok..
  4. 4

    Advancements in Gas Turbine Fault Detection: A Machine Learning Approach Based on the Temporal Convolutional Network–Autoencoder Model Autor Fahmi, Al-Tekreeti Watban Khalid, Reza Kashyzadeh, Kazem, Ghorbani, Siamak

    ISSN: 2076-3417, 2076-3417
    Vydavateľské údaje: Basel MDPI AG 01.06.2024
    Vydané v Applied sciences (01.06.2024)
    “… For this purpose, an advanced Temporal Convolutional Network (TCN)–Autoencoder model was presented to detect anomalies in vibration data…”
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    Journal Article
  5. 5

    Integrating Prior Knowledge Using Transformer for Gene Regulatory Network Inference Autor Weng, Guangzheng, Martin, Patrick, Kim, Hyobin, Won, Kyoung Jae

    ISSN: 2198-3844, 2198-3844
    Vydavateľské údaje: Germany John Wiley & Sons, Inc 01.01.2025
    Vydané v Advanced science (01.01.2025)
    “…) embeddings from publicly accessible biological data and a temporal convolutional network (TCN) autoencoder to capture regulatory patterns from single…”
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    Journal Article
  6. 6

    Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks Autor Kamrud, Alexander, Borghetti, Brett, Schubert Kabban, Christine, Miller, Michael

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Basel MDPI AG 20.08.2021
    Vydané v Sensors (Basel, Switzerland) (20.08.2021)
    “…Tasks which require sustained attention over a lengthy period of time have been a focal point of cognitive fatigue research for decades, with these tasks…”
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    Journal Article
  7. 7

    A novel similarity-based remaining useful life prediction method under multiple failure modes with variable sensors Autor Xie, Kaixuan, Zhang, Qiang, Yang, Peixuan, Liu, Qiong

    ISSN: 0263-2241
    Vydavateľské údaje: Elsevier Ltd 30.01.2026
    “…•An attention-based TCN autoencoder(ATCAE) is proposed to construct HI and failure features…”
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    Journal Article
  8. 8

    Dynamical Inference and Representations in Complex Biological Systems Autor Calderon, Josuan

    ISBN: 9798382805986
    Vydavateľské údaje: ProQuest Dissertations & Theses 01.01.2024
    “…This thesis introduces a comprehensive analytical framework that combines Temporal Autoencoders for Causal Inference (TACI) with a new pipeline for discovering…”
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    Dissertation
  9. 9

    Industrial sensor time series prediction based on CBDAE and TCN-Transformer Autor Tao, Xu, Xinyuan, Nan, Xin, Cai, Pu, Zhao

    ISSN: 1674-7070
    Vydavateľské údaje: Nanjing Nanjing University of Information Science & Technology 01.08.2025
    Vydané v Nanjing Xinxi Gongcheng Daxue Xuebao (01.08.2025)
    “…°Co-CBDAE-TCN-Transformer, which combines an improved Contrast Blind Denoising AutoEncoder (CBDAE…”
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    Journal Article