<sec>ObjectiveTo explore the clinical feasibility of applying deep learning (DL) reconstruction algorithm in low-dose thin-slice liver CT examination of healthy volunteers by comparing the reconstruction algorithm based on DL, filtered
To examine the normality of the datasets, the Kruskal–Wallis test was used where this test is based on the absence of normality and homogeneity of variance assumptions. From the test result, only a pair of maps indicated a normal distribution. Hence, the Mann–Whitney U-test is deliberated ...
Sensitivity and specificity of the EAPC/IASP algorithm were measured in comparison with the gold standard results. Kruskal–Wallis and unequal variance independent-samplesttests were used to compare the QST parameters in patients with and without NcP.#Ninety-eight patients were enrolled from August ...
“Improving Users' Product Acceptability: An Approach Based on Bayesian Networks and a Simulated Annealing Algorithm.” International Journal of Production Research 54 (17): 5151–5168. https://doi.org/10.1080/00207543.2016.1156183. (Open in a new window)Web of Science ®(Open in a new ...
and the Kruskal–Wallis test verifies that the PPO’s values is smallest on about 2/3 functions. Further tests on CEC2022 benchmark functions demonstrates PPO's competitiveness against six state-of-the-art metaheuristics. Additionally, the PPO is applied to four engineering problems and 3D UAV ...
Groups will be compared using one way and two way analysis of variance and Kruskal Wallace analysis of variance as appropriate to the data to be analyzed. 4. Results There was no statistical significant change between the two groups regarding systolic blood pressure during the first five days of...
The random forest method34 is a well-known machine learning algorithm for clustering and regression analyses and has become widely used in recent years in bioinformatics studies. Random forest can be applied to datasets with non-linear features and is intended for the construction of predictive and...
The most important element of a deep metric algorithm is loss function. Recently, a number of loss functions are presented to encourage samples from the same class to be closer, and pushing samples of different classes apart from each other. Generally, the loss functions are divided into pair-...
Aside from this,Actinobacteriawas the most abundant phylum throughout the data (Fig.2d, Additional file5: Table S2). All of these taxa show highly significant differences by city when assessed by Kruskal Wallis test (Fig.2). In those cities which displayed higher amounts of sequence from the...
(ANOVA) was used to compare the daily average of gait asymmetries and stride times between the three groups. Normality was checked using the Kolmogorov-Smirnov test. If the assumption of normality was violated, group distributions were compared using the Kruskal-Wallis test. If a significant ...