Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
linear decrease » linear increase (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
linear decrease » linear increase (Expand Search)
-
2201
-
2202
-
2203
-
2204
Pediatric CPP with Praat and ADSV (Joshi et al., 2025)
Published 2025“…Mean CPP values differed by sex, stimuli, and software. …”
-
2205
-
2206
The results of curve fitting analysis.
Published 2025“…This curve demonstrated a non-linear relationship between the rate of alert detection by an attending physician and direct cost. …”
-
2207
-
2208
-
2209
-
2210
Importance of random forest model.
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%. …”
-
2211
Schematic of the Baidu SVI collection.
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%. …”
-
2212
Map of the study area.
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%. …”
-
2213
Research framework.
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%. …”
-
2214
Perception type distribution and typical images.
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%. …”
-
2215
-
2216
-
2217
Change in rectal temperature following pre-medication, induction and inhalant anesthesia.
Published 2025“…Data are presented as mean ± SD.</p>…”
-
2218
-
2219
-
2220