Výsledky vyhledávání - "autoencoder convolutional neural network"

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  1. 1

    Computer-Aided Diagnosis of Acute Lymphoblastic Leukemiaby Using a Novel CAE-CNN Framework Autor Mansoor Alhammadi, Mohammed

    ISSN: 2313-190X, 2520-4912
    Vydáno: University of Information Technology and Communications 30.12.2024
    “…Acute lymphoblastic leukemia (ALL) is a main health problem throughout the world. Therefore, fast and exact diagnosis is the most crucial factor for providing…”
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    Journal Article
  2. 2

    Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network Autor Zhu, Kun, Zhang, Nana, Ying, Shi, Zhu, Dandan

    ISSN: 1751-8806, 1751-8814, 1751-8814
    Vydáno: The Institution of Engineering and Technology 01.06.2020
    Vydáno v IET software (01.06.2020)
    “…Just-in-time defect prediction is an important and useful branch in software defect prediction. At present, deep learning is a research hotspot in the field of…”
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    Journal Article
  3. 3

    Seismic Random Noise Attenuation Using a Tied-Weights Autoencoder Neural Network Autor Zhou, Huailai, Guo, Yangqin, Guo, Ke

    ISSN: 2075-163X, 2075-163X
    Vydáno: Basel MDPI AG 01.10.2021
    Vydáno v Minerals (Basel) (01.10.2021)
    “…Random noise is unavoidable in seismic data acquisition due to anthropogenic impacts or environmental influences. Therefore, random noise suppression is a…”
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    Journal Article
  4. 4

    Improving the Efficiency of Automated Latent Fingerprint Identification Using Stack of Convolutional Auto-encoder Autor Chhabra, Megha, Shukla, Manoj Kumar, Ravulakollu, Kiran Kumar

    ISSN: 2573-3079
    Vydáno: IEEE 06.11.2020
    “…In this paper, a method for improving the efficiency of latent fingerprint segmentation and detection system is presented. Structural detection and precise…”
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    Konferenční příspěvek
  5. 5

    Impact of Patch-Size on Classification Accuracy of Latent Fingerprint Image in Stacked Convolutional Auto-encoder based Segmentation and Detection Autor Chhabra, Megha, Shukla, Manoj Kumar, Ravulakollu, Kiran Kumar

    Vydáno: IEEE 07.10.2020
    “…Latent fingerprints are (un)intentional finger skin impressions left as ridge patterns at crime scenes. The significant challenge in latent fingerprint…”
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    Konferenční příspěvek
  6. 6

    Video Analytics in Train Cabin Using Deep Learning Autor Hsien, Lur Tze, Atmosukarto, Indriyati

    Vydáno: IEEE 01.09.2019
    “…The motivation behind our work is to improve commuters overall train ride experience by providing crowd density information of incoming trains. Given the…”
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