Hasil Pencarian - Robert Amelard

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  1. 1
    Temporal convolutional networks predict dynamic oxygen uptake response from wearable sensors across exercise intensities

    Temporal convolutional networks predict dynamic oxygen uptake response from wearable sensors across exercise intensities oleh Robert Amelard, Eric T. Hedge, Richard L. Hughson

    Diterbitkan 2021-11-01
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  2. 2
    Characterizing Canadian long-term care home consumed foods and their inflammatory potential: a secondary analysis

    Characterizing Canadian long-term care home consumed foods and their inflammatory potential: a secondary analysis oleh Kaylen J. Pfisterer, Robert Amelard, Heather H. Keller, Alexander Wong

    Diterbitkan 2023-02-01
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  3. 3
    5.5 A Femoral ‘Stealing’ Effect: Presence of Collateral Retrograde Blood Flow Redistribution in the Femoral Bifurcation During Reactive Hyperemia

    5.5 A Femoral ‘Stealing’ Effect: Presence of Collateral Retrograde Blood Flow Redistribution in the Femoral Bifurcation During Reactive Hyperemia oleh Jason Au, Robert Amelard, Billy Yiu, Hassan Nahas, Richard Hughson, Alfred Yu

    Diterbitkan 2020-02-01
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  4. 4
    Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment

    Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment oleh Kaylen Pfisterer, Robert Amelard, Jennifer Boger, Heather Keller, Audrey Chung, Alexander Wong

    Diterbitkan 2022-11-01
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  5. 5
    Sex‐dependent jugular vein optical attenuation and distension during head‐down tilt and lower body negative pressure

    Sex‐dependent jugular vein optical attenuation and distension during head‐down tilt and lower body negative pressure oleh Courtney A. Patterson, Robert Amelard, Essi Saarikoski, Hannah Heigold, Richard L. Hughson, Andrew D. Robertson

    Diterbitkan 2022-02-01
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  6. 6
    Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes

    Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes oleh Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, Braeden Syrnyk, Alexander MacLean, Heather H. Keller, Alexander Wong

    Diterbitkan 2022-01-01
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