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deep convolutional neural networks (cnns)  (Xiangxue Pharmaceutical)

 
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    Xiangxue Pharmaceutical deep convolutional neural networks (cnns)
    Deep Convolutional Neural Networks (Cnns), supplied by Xiangxue Pharmaceutical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/deep+convolutional+neural+networks+(cnns)/deep+convolutional+neural+networks++cnns+/10__1016_slash_j__ijtst__2024__02__004-75-9-38
    Average 90 stars, based on 1 article reviews
    deep convolutional neural networks (cnns) - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Efficient implementation of a wavelet neural network model for short-term traffic flow prediction: Sensitivity analysis
    Article Snippet: Recent evidence reveals that deep learning, such as deep convolutional neural networks (CNNs) (Guo et al., 2019; Khajeh Hosseini and Talebpour, 2019; Zhang et al., 2022), recurrent neural networks (RNN) (Duives et al., 2019; Song and Lu, 2018; Xiangxue et al., 2019), and long short-term memory (LSTM) (Ma et al., 2021; Tian et al., 2018), have shown promising results in solving complex problems.



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    Frequently used deep learning techniques and their uses.

    Journal: Diagnostics

    Article Title: Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine

    doi: 10.3390/diagnostics12102549

    Figure Lengend Snippet: Frequently used deep learning techniques and their uses.

    Article Snippet: 16 , A Mitra et al. [ ] , Glaucoma detection and analysis from retinal fundus image , ESSIDOR and Kaggle datasets , Deep Convolution Neural Network (CNN) , Accuracy was 99% on both two datasets.

    Techniques: Transformation Assay, Labeling

    Reported success and comparative analysis for the detection of different diseases.

    Journal: Diagnostics

    Article Title: Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine

    doi: 10.3390/diagnostics12102549

    Figure Lengend Snippet: Reported success and comparative analysis for the detection of different diseases.

    Article Snippet: 16 , A Mitra et al. [ ] , Glaucoma detection and analysis from retinal fundus image , ESSIDOR and Kaggle datasets , Deep Convolution Neural Network (CNN) , Accuracy was 99% on both two datasets.

    Techniques: Biomarker Discovery, Plasmid Preparation, Modification, Imaging, Software, Histopathology, Computed Tomography, Infection