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cnn based models  (Kuang Lung Shing)

 
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    Kuang Lung Shing cnn based models
    Cnn Based Models, supplied by Kuang Lung Shing, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cnn-based+model/based+classifier+cnn/pm41722285-56-0-14
    Average 86 stars, based on 1 article reviews
    cnn based models - by Bioz Stars, 2026-11
    86/100 stars

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    other:

    Article Title: RGTFormer: Predicting mutation-associated multi-drug resistance in Mycobacterium tuberculosis using a categorical gated transformer and relational graph convolutional network.
    Article Snippet: Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a major global health concern, especially due to multi-drug resistance.. Resistance often arises from single nucleotide mutations in drug-target genes, making early prediction vital for effective treatment.. Genomic sequencing enables resistance profiling, but accurate prediction requires advanced computational models.

    Extraction:

    Article Title: Advances in the modeling of multiphase flows and their application in nuclear engineering—A review
    Article Snippet: This paper mainly reviews the research progress on multiphase flow in nuclear engineering.. This paper is composed of three parts.. The first part documents a literature statistical analysis based on publications, mainly the SCIE-indexed papers collected in the Web of Science.



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    Comparison between this work and previous studies.

    Journal: Scientific Reports

    Article Title: Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images

    doi: 10.1038/s41598-025-94677-9

    Figure Lengend Snippet: Comparison between this work and previous studies.

    Article Snippet: , CNN-based model (DEMNET) , Kaggle, ADNI datasets , High performance in classifying AD stages , Accuracy: 95.23%, AUC: 97%, Kappa: 0.93 , Class imbalance handled via SMOTE , Lower performance on larger datasets , Robustness testing on ADNI.

    Techniques: Comparison, Extraction, Imaging, Biomarker Discovery

    Details of the baseline CNN model layers (in order from input). S: Spatial, C: Channel, and B: Batch observations.

    Journal: Animals : an Open Access Journal from MDPI

    Article Title: Efficient Convolutional Neural Network Model for the Taxonomy and Sex Identification of Three Phlebotomine Sandfly Species (Diptera, Psychodidae, and Phlebotominae)

    doi: 10.3390/ani14243712

    Figure Lengend Snippet: Details of the baseline CNN model layers (in order from input). S: Spatial, C: Channel, and B: Batch observations.

    Article Snippet: The base CNN model and its variations were implemented using Matlab R2024a.

    Techniques: