Výsledky vyhledávání - "neural network with encoder-decoder architecture"

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  1. 1

    An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture Autor Balasubrahmanyam, M., Valarmathi, R. S.

    ISSN: 1381-2416, 1572-8110
    Vydáno: New York Springer US 01.09.2024
    “…As the listening capacity exists in humans, they are facing the critical issues of understanding the speeches even in the presence of some background or other…”
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    Journal Article
  2. 2

    Analysis of the effectiveness of two different loss functions in training a neural network in lung image reconstruction using impedance tomography Autor Lalak-Dybała, Małgorzata, Stefaniak, Barbara, Olszewski, Paweł

    ISSN: 1734-2031, 2391-789X
    Vydáno: Wydawnictwo Akademii Nauk Stosowanych WSGE im. A. De Gasperi w Józefowie 2024
    Vydáno v Journal of Modern Science (2024)
    “…The article presents research findings on developing a medical diagnostic system based on electrical impedance tomography technology. One of the key components…”
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    Journal Article
  3. 3

    Trichomonas vaginalis Detection Using Two Convolutional Neural Networks with Encoder-Decoder Architecture Autor Wang, Xiangzhou, Du, Xiaohui, Liu, Lin, Ni, Guangming, Zhang, Jing, Liu, Juanxiu, Liu, Yong

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.03.2021
    Vydáno v Applied sciences (01.03.2021)
    “…Diagnosis of Trichomonas vaginalis infection is one of the most important factors in the routine examination of leucorrhea. According to the motion…”
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  4. 4

    Attention-based deep learning models for predicting anomalous shock of wastewater treatment plants Autor Zhang, Yituo, Wang, Jihong, Li, Chaolin, Duan, Hengpan, Wang, Wenhui

    ISSN: 0043-1354, 1879-2448, 1879-2448
    Vydáno: England Elsevier Ltd 01.05.2025
    Vydáno v Water research (Oxford) (01.05.2025)
    “…•Propose attention-based deep learning models to predict abnormal influent of WWTP.•Feature-temporal attention-based LSTM has the best accuracy (0–85 % higher…”
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  5. 5

    WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects Autor Nag, Subhrajit, Makwana, Dhruv, R, Sai Chandra Teja, Mittal, Sparsh, Mohan, C.Krishna

    ISSN: 0166-3615, 1872-6194
    Vydáno: Elsevier B.V 01.11.2022
    Vydáno v Computers in industry (01.11.2022)
    “…As the integration density and design intricacy of semiconductor wafers increase, the magnitude and complexity of defects in them are also on the rise. Since…”
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  6. 6

    Particle Restoration: A Novel Image Processing Framework for Improving Real Cryo-EM Image Quality in Single Particle Analysis Autor Hu, Bin, Zhang, Dong-Xu, Liu, Shi-Qi, Xie, Xiao-Liang, Zhou, Xiao-Hu, Li, Hong-Jia, Zheng, Qing-Bing, Zhang, Fa, Hou, Zeng-Guang, Xia, Ning-Shao

    ISSN: 2998-4165, 2998-4165
    Vydáno: United States IEEE 23.09.2025
    “…Cryo-electron microscopy single particle analysis (cryo-EM SPA) is the most powerful technique for biomacromolecule structure determination. However, many…”
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  7. 7

    AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018 Autor Rippel, Oliver, Weninger, Leon, Merhof, Dorit

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 20.05.2020
    Vydáno v arXiv.org (20.05.2020)
    “… Such an algorithm was developed and is presented in this paper. It consists of a 3D convolutional neural network with encoder-decoder architecture employing residual-connections, skip-connections and multi…”
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  8. 8

    Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss Autor Kodym, Oldřich, Španěl, Michal, Herout, Adam

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 06.12.2018
    Vydáno v arXiv.org (06.12.2018)
    “… We introduce a convolution neural network with encoder-decoder architecture and a new loss function, the batch soft Dice loss function, used to train the network…”
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  9. 9

    Autoencoder Based Optimization for Electromagnetics Problems Autor Barmada, S, Fontana, N, Thomopulos, D, Tucci, M

    ISSN: 1054-4887, 1943-5711
    Vydáno: Pisa River Publishers 2019
    “… In particular a surrogate model based on Deep Neural Networks with encoder-decoder architecture is introduced…”
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  10. 10

    Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation Autor Shi, Ge, Yang, Zhili

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 14.02.2024
    Vydáno v arXiv.org (14.02.2024)
    “…Dynamic scene understanding is one of the most conspicuous field of interest among computer vision community. In order to enhance dynamic scene understanding,…”
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  11. 11

    Deep Neural Networks Based Surrogate Model for Topology Optimization of Electromagnetic Devices Autor Tucci, Mauro, Barmada, Sami, Sani, Luca, Thomopulos, Dimitri, Fontana, Nunzia

    Vydáno: ACES 01.04.2019
    “… In particular a surrogate model based on deep neural networks with encoder-decoder architecture is introduced…”
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  12. 12

    Fully convolutional Siamese neural networks for buildings damage assessment from satellite images Autor Khvedchenya, Eugene, Gabruseva, Tatiana

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 31.10.2021
    Vydáno v arXiv.org (31.10.2021)
    “…Damage assessment after natural disasters is needed to distribute aid and forces to recovery from damage dealt optimally. This process involves acquiring…”
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  13. 13

    LABANet: A Lightweight Asymmetrical Bottleneck and Attention-Based Network for Cloud Detection Autor Yu, Ximing, Peng, Yu, Shao, Wenyi, Liu, Liansheng, Sun, Kaipeng

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 15.02.2024
    Vydáno v IEEE sensors journal (15.02.2024)
    “… As the demand for accuracy has increased, deep neural networks with encoder-decoder architectures have been widely used for cloud detection…”
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