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Showing 2,201 - 2,220 results of 5,838 for search '(( ct ((values decrease) OR (largest decrease)) ) OR ( a ((mean decrease) OR (linear decrease)) ))', query time: 0.50s Refine Results
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    Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

    Published 2025
    “…Mean CPP values differed by sex, stimuli, and software. …”
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    The results of curve fitting analysis. by Hai-bo Ai (20790405)

    Published 2025
    “…This curve demonstrated a non-linear relationship between the rate of alert detection by an attending physician and direct cost. …”
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    Importance of random forest model. by Yu Zhang (12946)

    Published 2025
    “…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”
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    Schematic of the Baidu SVI collection. by Yu Zhang (12946)

    Published 2025
    “…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”
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    Map of the study area. by Yu Zhang (12946)

    Published 2025
    “…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”
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    Research framework. by Yu Zhang (12946)

    Published 2025
    “…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”
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    Perception type distribution and typical images. by Yu Zhang (12946)

    Published 2025
    “…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”
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