Search Results - "Image classification algorithm"

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  1. 1

    A Social Network Image Classification Algorithm Based on Multimodal Deep Learning by Bai, Junwei, Chi, Cheng

    ISSN: 1841-9836, 1841-9844
    Published: Oradea Agora University of Oradea 01.12.2020
    “… For accurate classification of social network images, this paper proposes a social network image classification algorithm based on multimodal deep learning…”
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    Journal Article
  2. 2

    Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test by Zhu, Yong-Zheng, Zhang, Ji, Cheng, Qi, Yu, Hui-Xiao, Deng, Kai-Fei, Zhang, Jian-Hua, Qin, Zhi-Qiang, Zhao, Jian, Sun, Jun-Hong, Huang, Ping

    ISSN: 1004-5619
    Published: Editorial Office of Journal of Forensic Medicine 25.02.2022
    Published in Fa yi xue za zhi (25.02.2022)
    “…To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable…”
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    Journal Article
  3. 3

    Decoding Lung Cancer Radiogenomics: A Custom Clustering/Classification Methodology to Simultaneously Identify Important Imaging Features and Relevant Genes by Provenzano, Destie, Lichtenberger, John P., Goyal, Sharad, Rao, Yuan James

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.04.2025
    Published in Applied sciences (01.04.2025)
    “…) image classification was run on CT data for these genetic clusters; (3) misclassified subjects were re-classified based on the image classification algorithm; and (4…”
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    Journal Article
  4. 4

    Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks by Shi, Lan, Wank, Marianthie, Chen, Yan, Wang, Yibo, Liu, Yachuan, Hector, Emily C., Song, Peter X.K.

    ISSN: 2168-2194, 2168-2208, 2168-2208
    Published: United States IEEE 01.01.2023
    “…Objective: We propose a new analytic framework, "Artificial Synthetic Imaging Data (ASID) Workflow," for sleep classification from a wearable device…”
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    Journal Article
  5. 5

    Lumbar Ultrasound Image Feature Extraction and Classification with Support Vector Machine by Yu, Shuang, Tan, Kok Kiong, Sng, Ban Leong, Li, Shengjin, Sia, Alex Tiong Heng

    ISSN: 1879-291X
    Published: England 01.10.2015
    Published in Ultrasound in medicine & biology (01.10.2015)
    “… To solve the problem, we have developed an image classification algorithm that can automatically identify the bone/interspinous region for ultrasound images obtained from lumbar spine of pregnant…”
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    Journal Article
  6. 6

    Improved image representation and sparse representation for face recognition by Wei, Xuqin, Shi, Yun, Gong, Weiyin, Guan, Yanyun

    ISSN: 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2022
    Published in Multimedia tools and applications (01.12.2022)
    “… To solve this problem, this paper proposes a novel image classification algorithm. The algorithm uses an improved image representation method to generate virtual…”
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    Journal Article
  7. 7

    Decoding Subject-Driven Cognitive States from EEG Signals for Cognitive Brain–Computer Interface by Huang, Dingyong, Wang, Yingjie, Fan, Liangwei, Yu, Yang, Zhao, Ziyu, Zeng, Pu, Wang, Kunqing, Li, Na, Shen, Hui

    ISSN: 2076-3425, 2076-3425
    Published: Switzerland MDPI AG 01.05.2024
    Published in Brain sciences (01.05.2024)
    “…In this study, we investigated the feasibility of using electroencephalogram (EEG) signals to differentiate between four distinct subject-driven cognitive states…”
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    Journal Article
  8. 8

    Noninvasive COVID-19 Screening Using Deep-Learning-Based Multilevel Fusion Model With an Attention Mechanism by Hossain, M. Shamim, Shorfuzzaman, Mohammad

    ISSN: 2768-7236, 2768-7236
    Published: IEEE 2023
    “… However, when it comes to detecting COVID-19 from CXR images, most of the approaches rely on standard image classification algorithms, which have limitations with low identification accuracy…”
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    Journal Article
  9. 9

    Non-Invasive COVID-19 Screening Using Deep Learning-Based Multilevel Fusion Model With an Attention Mechanism by Hossain, M. Shamim, Shorfuzzaman, Mohammad

    ISSN: 2768-7236
    Published: IEEE 22.08.2023
    “… However, when it comes to detecting COVID-19 from CXR images, most of the approaches rely on standard image classification algorithms, which have limitations with low identification accuracy…”
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    Journal Article
  10. 10

    IMAGE CLASSIFIER RESILIENT TO ADVERSARIAL ATTACKS, FAULT INJECTIONS AND CONCEPT DRIFT – MODEL ARCHITECTURE AND TRAINING ALGORITHM by Moskalenko, V. V., Moskalenko, A. S., Korobov, A. G., Zaretsky, M. O.

    ISSN: 1607-3274, 2313-688X
    Published: 16.10.2022
    “…Context. The problem of image classification algorithms vulnerability to destructive perturbations has not yet been definitively resolved and is quite relevant for safety-critical applications…”
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    Journal Article
  11. 11
  12. 12

    Machine Learning in Adversarial Settings: Attacks and Defenses by Hosseini, Hossein

    ISBN: 9781687932174, 1687932174
    Published: ProQuest Dissertations & Theses 01.01.2019
    “… Learning models are subject to attacks at both training and test phases. The main threat at test time is evasion attack, in which the attacker subtly modifies…”
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    Dissertation
  13. 13

    Muscle Fatigue Detection Using Infrared Thermography: Image Segmentation to Extract the Region of Interest from Thermograms by Ramamoorthy, Dhyanesh

    ISBN: 9798557089302
    Published: ProQuest Dissertations & Theses 01.01.2018
    “…A major public health problem which affects people from all walks of life is muscle injury. Muscle fatigue can be defined as a reversible decrease in the…”
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    Dissertation
  14. 14

    Performance evaluation of Decision Tree and neural network techniques for road scene image classification task by Rouabeh, Hanene, Abdelmoula, Chokri, Masmoudi, Mohamed

    Published: IEEE 01.11.2014
    “…This paper discusses the evaluation of two supervised learning based image classification algorithms…”
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    Conference Proceeding
  15. 15

    A Machine-Synesthetic Approach To DDoS Network Attack Detection by Kuznetsova, Anna, Monakhov, Yuri, Nikitin, Oleg, Kharlamov, Alexey, Amochkin, Alexandr

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 13.01.2019
    Published in arXiv.org (13.01.2019)
    “… classification algorithms in the problem of detecting network anomalies, making it possible to use non…”
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    Paper