Výsledky vyhledávání - "temporal autoencoder"

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  1. 1

    Stacked Spatial-Temporal Autoencoder for Quality Prediction in Industrial Processes Autor Yan, Feng, Yang, Chunjie, Zhang, Xinmin

    ISSN: 1551-3203, 1941-0050
    Vydáno: Piscataway IEEE 01.08.2023
    “…Nowadays, data-driven soft sensors have become a mainstream for the key performance indicators prediction, which guarantees the safety and stability of the…”
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    Journal Article
  2. 2

    Structural-temporal mining for motif-level anomaly detection in dynamic graphs Autor Huang, Changqin, Yu, Binghang, Gao, Chengling, Tu, Yaxin, Jiang, Fan, Huang, Xiaodi

    ISSN: 0950-7051
    Vydáno: Elsevier B.V 05.09.2025
    Vydáno v Knowledge-based systems (05.09.2025)
    “…Dynamic graph anomaly detection (DGAD) has received significant attention due to the dynamic nature of real-world graphical data. As fundamental subgraph…”
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  3. 3

    Short-term multi-step wind power prediction model based on Pt-Transformer neural network integrating spatio-temporal feature and sparse attention Autor Zhang, Zhiyan, Sun, Zhenyang, Guo, Xianghui, Guo, Ruipeng, Yang, Xiaoliang, Yang, Pengju

    ISSN: 0378-7796
    Vydáno: Elsevier B.V 01.11.2025
    Vydáno v Electric power systems research (01.11.2025)
    “…•A wind power forecasting method based on the time series Transformer model is proposed.•Novel model improves noisy data handling, time-series dependency…”
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  4. 4

    Spatio-Temporal AutoEncoder for Traffic Flow Prediction Autor Liu, Mingzhe, Zhu, Tongyu, Ye, Junchen, Meng, Qingxin, Sun, Leilei, Du, Bowen

    ISSN: 1524-9050, 1558-0016
    Vydáno: New York IEEE 01.05.2023
    “…Forecasting traffic flow is an important task in urban areas, and a large number of methods have been proposed for traffic flow prediction. However, most of…”
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  5. 5

    Fault detection for lithium-ion batteries of electric vehicles with spatio-temporal autoencoder Autor Li, Heng, Liu, Zhijun, Bin Kaleem, Muaaz, Duan, Lijun, Ruan, Siqi, Liu, Weirong

    ISSN: 0306-2619
    Vydáno: Elsevier Ltd 15.08.2025
    Vydáno v Applied energy (15.08.2025)
    “…Fault detection of lithium-ion battery packs is crucial for the safe operation of electric vehicles. Autoencoder, as an advanced machine learning method, has…”
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  6. 6

    Variable-Wise Stacked Temporal Autoencoder for Intelligent Fault Diagnosis of Industrial Systems Autor Liu, Lang, Zheng, Ying, Liang, Shaojun

    ISSN: 1551-3203, 1941-0050
    Vydáno: Piscataway IEEE 01.05.2024
    “…Fault diagnosis of dynamic multivariate systems is a challenging problem. In this article, a novel fault diagnosis scheme based on variable-wise stacked…”
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  7. 7

    Early Gas Kick Warning Based on Temporal Autoencoder Autor Zhu, Zhaopeng, Zhou, Detao, Yang, Donghan, Song, Xianzhi, Zhou, Mengmeng, Zhang, Chengkai, Duan, Shiming, Zhu, Lin

    ISSN: 1996-1073, 1996-1073
    Vydáno: Basel MDPI AG 01.06.2023
    Vydáno v Energies (Basel) (01.06.2023)
    “…The timing of the data is not taken into account by the majority of risk warnings today. However, identifying temporal fluctuations in data, which is a vital…”
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  8. 8

    Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data Autor Jiang, Guoqian, Nan, Pengcheng, Zhang, Jingchao, Li, Yingwei, Li, Xiaoli

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 2024
    “…Recently, the safety and reliability of unmanned aerial vehicles (UAVs) have gained increasing interest, and data-driven anomaly detection methods have been…”
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  9. 9

    Efficient identification of Alzheimer’s brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders Autor Wu, Lingyun, Zhao, Quanfa, Liu, Jing, Yu, Haitao

    ISSN: 1746-8094, 1746-8108
    Vydáno: Elsevier Ltd 01.09.2023
    “…•An automatic EEG-based diagnosis scheme for Alzheimer’s disease (AD) with deep learning methods was proposed.•A Spatial-Temporal Autoencoder (STAE) framework…”
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  10. 10

    Novel Temporal Autoencoder Model Based on STD for Industrial Soft Sensing Autor He, Yan-Lin, Jiang, Yu, Xu, Yuan, Zhu, Qun-Xiong

    ISSN: 1551-3203, 1941-0050
    Vydáno: IEEE 2025
    “…Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data…”
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  11. 11

    Parallel Symmetric Appearance‐Motion Framework With Diffusion and Refinement Blocks for Video Anomaly Detection System Autor Prasad, Kavitapu Naga Siva Shankara Vara, Haritha, Dasari

    ISSN: 1532-0626, 1532-0634
    Vydáno: Hoboken, USA John Wiley & Sons, Inc 30.08.2025
    Vydáno v Concurrency and computation (30.08.2025)
    “…ABSTRACT Video anomaly detection is crucial in network security, application performance monitoring, and quality control. It recognizes unexpected patterns or…”
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  13. 13

    BGP Anomaly Detection by the mean of Updates Projection and Spatio-temporal Auto-encoding Autor Fejza, Doris, Lambert, Anthony

    ISSN: 2576-3539
    Vydáno: IEEE 19.09.2022
    “…Detecting BGP anomalies is crucial to improve the security and robustness of the Internet's inter-domain routing system. As part of this work, we propose an…”
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  14. 14

    Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies Autor Chandrakala, S., Srinivas, V., Deepak, K.

    ISSN: 1370-4621, 1573-773X
    Vydáno: New York Springer US 01.12.2021
    Vydáno v Neural processing letters (01.12.2021)
    “…Real-time video anomaly detection and localization still prevail as a challenging task. Autoencoders are expected to give high reconstruction error for…”
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  15. 15

    A Survey on Video Anomaly Detection in Surveillance System Autor T, Manesh, Nataraj, Neetha K, Jayaraj, Akshaya, Joby, Alen, Ananthakrishnan, P V, Thankachan, Basil K

    ISSN: 2769-5565
    Vydáno: IEEE 16.05.2024
    “…Surveillance video anomaly detection is a challenging and important task that aims to identify unusual or suspicious events in video streams without human…”
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  16. 16

    Real-Time Anomalous Activity Detection in Surveillance Videos Autor Susitra, D, Reddy, Sathi Abhinay, Prasanth, Sajjala, Dhanalakshmi, K, J, Sylvia Grace, Shamreen Ahamed, B

    Vydáno: IEEE 12.03.2025
    “…With the exponential growth of surveillance video data, there is a need for intelligent and efficient real time anomalous activity detection systems. In this…”
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  17. 17

    AI-Enabled Robotic Surveillance System for Critical Infrastructure Autor Thankappan, Manesh, Nataraj, Neetha K, K S, Divya, Jayaraj, Akshaya, Joby, Alen, Asokan, Abhilash

    Vydáno: IEEE 07.02.2025
    “…Traditional monitoring approaches often experience blind spots and high resource utilization at such a crucial time of security. In our study, we design a…”
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