Showing 1,061 - 1,080 results of 226,430 for search '(( 5 ((step decrease) OR (teer decrease)) ) OR ( 10 ((nn decrease) OR (a decrease)) ))', query time: 1.43s Refine Results
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    Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…The machine learning experiment procedure mainly included three following steps: feature standardization, parameter adjustment, and performance comparison. …”
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    Data_Sheet_3_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…The machine learning experiment procedure mainly included three following steps: feature standardization, parameter adjustment, and performance comparison. …”
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    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…The machine learning experiment procedure mainly included three following steps: feature standardization, parameter adjustment, and performance comparison. …”
  16. 1076

    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…The machine learning experiment procedure mainly included three following steps: feature standardization, parameter adjustment, and performance comparison. …”
  17. 1077

    Data_Sheet_2_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…The machine learning experiment procedure mainly included three following steps: feature standardization, parameter adjustment, and performance comparison. …”
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