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pretrained mobilenet-v2 models  (Altera Corp)

 
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    Altera Corp pretrained mobilenet-v2 models
    Pretrained Mobilenet V2 Models, supplied by Altera Corp, 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/pretrained+mobilenet-v2+models/pretrained+mobilenet+v2+models/10__15302_slash_j___qb___022___0312-167-1-11
    Average 90 stars, based on 1 article reviews
    pretrained mobilenet-v2 models - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Secure and efficient implementation of facial emotion detection for smart patient monitoring system
    Article Snippet: The pretrained MobileNet-v2 models with approximated weights were implemented on the Altera DE4 development board using the Quartus Prime Pro software package.



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    pretrained mobilenet-v2 models  (Altera Corp)
    90
    Altera Corp pretrained mobilenet-v2 models
    Pretrained Mobilenet V2 Models, supplied by Altera Corp, 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/pretrained+mobilenet-v2+models/pretrained+mobilenet+v2+models/10__15302_slash_j___qb___022___0312-167-1-11
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    pretrained mobilenet v2 models  (Altera Corp)
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    Altera Corp pretrained mobilenet v2 models
    Confusion matrix for classification performance on the FER2013 dataset <t>by</t> <t>MobileNet‐v2</t> models with (A) floating‐point weights (FP32), MSD approximated weights with (B) p = 3, (C) p = 2 and (D) p = 1.
    Pretrained Mobilenet V2 Models, supplied by Altera Corp, 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/pretrained+mobilenet-v2+models/mobilenet+models+pretrained+v2/pmc12807348-170-1-11
    Average 86 stars, based on 1 article reviews
    pretrained mobilenet v2 models - by Bioz Stars, 2026-10
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    Confusion matrix for classification performance on the FER2013 dataset by MobileNet‐v2 models with (A) floating‐point weights (FP32), MSD approximated weights with (B) p = 3, (C) p = 2 and (D) p = 1.

    Journal: Quantitative Biology

    Article Title: Secure and efficient implementation of facial emotion detection for smart patient monitoring system

    doi: 10.15302/J-QB-022-0312

    Figure Lengend Snippet: Confusion matrix for classification performance on the FER2013 dataset by MobileNet‐v2 models with (A) floating‐point weights (FP32), MSD approximated weights with (B) p = 3, (C) p = 2 and (D) p = 1.

    Article Snippet: The pretrained MobileNet‐v2 models with approximated weights were implemented on the Altera DE4 development board using the Quartus Prime Pro software package.

    Techniques: