Výsledky vyhledávání - "convolutional neural network autoencoder"

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  1. 1

    DOC-IDS: A Deep Learning-Based Method for Feature Extraction and Anomaly Detection in Network Traffic Autor Yoshimura, Naoto, Kuzuno, Hiroki, Shiraishi, Yoshiaki, Morii, Masakatu

    ISSN: 1424-8220, 1424-8220
    Vydáno: Basel MDPI AG 01.06.2022
    Vydáno v Sensors (01.06.2022)
    “…With the growing diversity of cyberattacks in recent years, anomaly-based intrusion detection systems that can detect unknown attacks have attracted…”
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  2. 2

    Optimization of time-of-use electricity tariffs for multi-type consumers using price-based demand response and consumer classification model Autor Lv, Yuhua, Fang, Yuqian

    ISSN: 1556-7036, 1556-7230
    Vydáno: Taylor & Francis 31.12.2025
    “…Existing researches predominantly focus on optimizing time-of-use tariffs for single-type consumers, overlooking the fact that an actual distribution system…”
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  3. 3

    Driver distracted detection using a new hybrid deep convolutional neural network based on Autoencoder Autor Hassam, Dhulfekar Dhurgham, Mohamme, Ayas Talib, Sadiq, Arcelan S, Salman, Baraa Yousif

    ISSN: 2631-8695, 2631-8695
    Vydáno: IOP Publishing 31.12.2025
    Vydáno v Engineering Research Express (31.12.2025)
    “…Driver distraction is a leading cause of traffic accidents and therefore requires automatic detection mechanisms. Deep learning-based methods, such as CNNs,…”
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  4. 4

    Deep Learning for Abnormal Crowd Behavior Detection:A Review Autor XU Tao, TIAN Chong-yang, LIU Cai-hua

    ISSN: 1002-137X
    Vydáno: Editorial office of Computer Science 01.09.2021
    Vydáno v Ji suan ji ke xue (01.09.2021)
    “…With the increasing demand of security industry,abnormal crowd behavior detection has become a hot research issue in computer vision.Abnormal crowd behavior…”
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  5. 5

    Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture Autor Wu, Chin-Cheng, Tsai, Cheng-Wei, Wu, Fei-En, Chiang, Chi-Hsuan, Chiou, Jin-Chern

    ISSN: 2313-7673, 2313-7673
    Vydáno: Switzerland MDPI AG 01.02.2025
    Vydáno v Biomimetics (Basel, Switzerland) (01.02.2025)
    “…Convolutional neural networks (CNNs) have been widely and successfully demonstrated for closed set recognition in gait identification, but they still lack…”
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