Výsledky vyhledávání - "3D convolutional autoencoder"

  1. 1

    Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification Autor Mei, Shaohui, Ji, Jingyu, Geng, Yunhao, Zhang, Zhi, Li, Xu, Du, Qian

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York IEEE 01.09.2019
    “…) convolutional autoencoder (3D-CAE). The proposed 3D-CAE consists of 3D or elementwise operations only, such as 3D convolution, 3D pooling, and 3D batch normalization, to maximally explore spatial-spectral structure information for feature extraction…”
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  2. 2

    Spatial–Spectral Joint Hyperspectral Anomaly Detection Based on a Two-Branch 3D Convolutional Autoencoder and Spatial Filtering Autor Lv, Shuai, Zhao, Siwei, Li, Dandan, Pang, Boyu, Lian, Xiaoying, Liu, Yinnian

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 12.05.2023
    Vydáno v Remote sensing (Basel, Switzerland) (12.05.2023)
    “…–spectral joint HAD method based on a two-branch 3D convolutional autoencoder and spatial filtering…”
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  3. 3

    Data‐Driven Detection of Internal Erosion Initiation in Gap‐Graded Soils: Combining Particle‐Scale CFD‐DEM Simulation With 3D Convolutional Autoencoder Autor Qi, Jie, Yousefpour, Negin, Narsilio, Guillermo A., Pouragha, Mehdi

    ISSN: 0363-9061, 1096-9853
    Vydáno: Bognor Regis Wiley Subscription Services, Inc 01.12.2025
    “…ABSTRACT Internal erosion in gap‐graded soils poses significant risks to water‐retaining structures such as earth dams. However, its underlying mechanisms at…”
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  4. 4

    A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images Autor Ranjan, Pallavi, Kumar, Rajeev, Girdhar, Ashish

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.05.2024
    Vydáno v Neural computing & applications (01.05.2024)
    “…The classification of hyperspectral images (HSI) into categories that correlate to various land cover sorts such as water bodies, agriculture and urban areas,…”
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  5. 5

    Detecting spatiotemporal irregularities in videos via a 3D convolutional autoencoder Autor Yan, Mengjia, Meng, Jingjing, Zhou, Chunluan, Tu, Zhigang, Tan, Yap-Peng, Yuan, Junsong

    ISSN: 1047-3203, 1095-9076
    Vydáno: Elsevier Inc 01.02.2020
    “…Spatiotemporal irregularities (i.e., the uncommon appearance and motion patterns) in videos are difficult to detect, as they are usually not well defined and…”
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  6. 6

    An Attention-Based 3D Convolutional Autoencoder for Few-Shot Hyperspectral Unmixing and Classification Autor Li, Chunyu, Cai, Rong, Yu, Junchuan

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 01.01.2023
    Vydáno v Remote sensing (Basel, Switzerland) (01.01.2023)
    “… A cube-based attention 3D convolutional autoencoder network (CACAE), is applied to extract spectral–spatial features…”
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  7. 7

    Research on 3D convolutional autoencoder enhanced metro abnormal behavior detection based on multi-level attentional memory Autor Ye, Run, Zhang, Kun, Zhang, Cheng, Yan, Bin, Zhou, Xiaojia

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.06.2025
    Vydáno v Multimedia tools and applications (01.06.2025)
    “…Subway is one of the most important rail transit tools in China, which has the advantages of convenience, safety and high efficiency, and subway has also…”
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  8. 8

    Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder Autor Kalinicheva, Ekaterina, Sublime, Jérémie, Trocan, Maria

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 01.06.2020
    Vydáno v Remote sensing (Basel, Switzerland) (01.06.2020)
    “… It is achieved by using a compressed SITS representation obtained with a multi-view 3D convolutional autoencoder…”
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  9. 9

    The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization Autor Xu, Feng, Li, Zhiyong, Wen, Bo, Huang, Youhui, Wang, Yaojun

    ISSN: 1468-8115, 1468-8123
    Vydáno: Chichester Hindawi 2021
    Vydáno v Geofluids (2021)
    “… In this paper, a fault and fracture network characterization method based on 3D convolutional autoencoder is proposed…”
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  10. 10

    Learning Unsupervised Visual Representations using 3D Convolutional Autoencoder with Temporal Contrastive Modeling for Video Retrieval Autor Kumar, Vidit, Tripathi, Vikas, Pant, Bhaskar

    ISSN: 2455-7749, 2455-7749
    Vydáno: Dehradun International Journal of Mathematical, Engineering and Management Sciences 01.04.2022
    “… However, this paper designs and studies a 3D convolutional autoencoder…”
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  11. 11

    Efficient Hyperspectral Data Compression using 3D Convolutional Autoencoder Autor Afrin, Afsana, Mamun, Md. Al

    Vydáno: IEEE 25.04.2024
    “…Hyperspectral image has large size due to abundance of spectral bands preventing efficient storage and transmission in real-time applications. This paper…”
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  12. 12

    Intelligent Complementary Multi-Modal Fusion for Anomaly Surveillance and Security System Autor Jeong, Jae-hyeok, Jung, Hwan-hee, Choi, Yong-hoon, Park, Seong-hee, Kim, Min-suk

    ISSN: 1424-8220, 1424-8220
    Vydáno: Basel MDPI AG 01.11.2023
    Vydáno v Sensors (Basel, Switzerland) (01.11.2023)
    “…) using multi-modal fusion. To verify the method, we combined two DL-based schemes, such as (i) the 3D Convolutional AutoEncoder…”
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  13. 13

    Enhancing Peer-to-Peer Network Security using 3D Convolutional Autoencoder based Anomaly Detection Autor R, Rana Veer Samara Sihman Bharattej, Ajznblasm, Zaid, Satish, E. G., A, Adlin Sylvia, Devi, M.

    Vydáno: IEEE 24.01.2025
    “…In this era, Peer-to-Peer (P2P) networks have developed as a revolutionized network for data distribution and alternate to traditional client-server network…”
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  14. 14

    Transformer-based factorized encoder for classification of pneumoconiosis on 3D CT images Autor Huang, Yingying, Si, Yang, Hu, Bingliang, Zhang, Yan, Wu, Shuang, Wu, Dongsheng, Wang, Quan

    ISSN: 0010-4825, 1879-0534, 1879-0534
    Vydáno: United States Elsevier Ltd 01.11.2022
    Vydáno v Computers in biology and medicine (01.11.2022)
    “…In the past decade, deep learning methods have been implemented in the medical image fields and have achieved good performance. Recently, deep learning…”
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  15. 15

    Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO3 Autor Hirotaka Manaka, Shoutarou Katayama, Soichiro Honda, Yoko Miura

    ISSN: 2766-0400
    Vydáno: Taylor & Francis Group 31.12.2025
    “…Optical microscopy is vital in many scientific fields, and various super-resolution techniques have been developed to overcome the resolution limit that…”
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  16. 16

    Explainable machine learning algorithm predicting working memory performance in Parkinson’s disease using task-fMRI Autor Yasuda, Eiji, Hattori, Takaaki, Shimano, Kaoru, Hase, Takeshi, Oyama, Jun, Yamagiwa, Ken, Kawauchi, Miho, Horovitz, Silvina G., Lungu, Codrin, Matsuzawa, Hitoshi, Hallett, Mark

    ISSN: 0340-5354, 1432-1459, 1432-1459
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 14.10.2025
    Vydáno v Journal of neurology (14.10.2025)
    “… A three-dimensional convolutional neural network (3D-CNN) model, pre-trained with a 3D convolutional autoencoder, was developed to perform…”
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  17. 17

    Parametric 3D Convolutional Autoencoder for the Prediction of Flow Fields in a Bed Configuration of Hot Particles Autor Mjalled, Ali, Namdar, Reza, Lucas Reineking, Norouzi, Mohammad, Varnik, Fathollah, Mönnigmann, Martin

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 12.02.2024
    Vydáno v arXiv.org (12.02.2024)
    “… The reduced model consists of a parametric 3D convolutional autoencoder. The first part resolves the spatial…”
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  18. 18

    Fast simulation of high resolution urban wind fields at city scale Autor Xiang, Songlin, Zhou, Jingcheng, Fu, Xiangwen, Zheng, Leyi, Wang, Yuqing, Zhang, Yizhou, Yi, Kan, Liu, Junfeng, Ma, Jianmin, Tao, Shu

    ISSN: 2212-0955, 2212-0955
    Vydáno: Elsevier B.V 01.09.2021
    Vydáno v Urban climate (01.09.2021)
    “…) during a long simulation period (4 weeks). Within the NIROM, 3D convolutional autoencoder and eXtreme Gradient Boost regression models (XGBoost) are adopted…”
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  19. 19

    A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies Autor Thadikemalla, Venkata Sainath Gupta, Focke, Niels K., Tummala, Sudhakar

    ISSN: 2948-2933, 0897-1889, 2948-2925, 2948-2933, 1618-727X
    Vydáno: Cham Springer International Publishing 01.02.2024
    Vydáno v Journal of digital imaging (01.02.2024)
    “…This paper presents a fully automated pipeline using a sparse convolutional autoencoder for quality control (QC) of affine registrations in large-scale…”
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  20. 20

    Deep learning-based automated 3D inspection of helical gears using voxelized CAD models and 3D convolutional autoencoders Autor Selloum, Rabia, Ameddah, Hacene, Brioua, Mourad

    ISSN: 0268-3768, 1433-3015
    Vydáno: London Springer London 01.12.2025
    “… We propose a voxel-based 3D inspection framework that integrates an XGBoost-guided perturbation model with a 3D convolutional autoencoder (3D CNN-AE…”
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