Sentence examples for different combinations of tasks from inspiring English sources
Similar to Tables 1, 2, 3 and 4, considering 10 different combinations of tasks, in Fig. 7, classification accuracies obtained by using four different kernels are shown.
The studies that trained dual-task postural control used different combinations of tasks, with different levels of difficulty in both the cognitive and the postural tasks.
While the current research suggests that a variety of trained task combinations can improve dual-task performance, future studies should compare how different combinations of tasks impact the efficacy of training.
Moreover, average classification accuracy and standard deviation obtained from four subjects for different combination of tasks are listed in Table 5.
The inspection intervals and the repair thresholds are adjusted according to different combinations of SHM tasks and scheduled maintenance.
In contrast with niches occupied by typical AI agents, AIS niches present situations that vary dynamically along several key dimensions: different combinations of required tasks, different configurations of available resources, contextual conditions ranging from benign to stressful, and different performance criteria.
As evidence suggests that acute NaHCO3 ingestion may have a preferential effect on type II muscle fibres [83], further study comparing different combinations of exercise task demands and muscle groups may also clarify the effect of NaHCO3 on rates of torque development and muscle recruitment in humans.
In this way, ten different combinations of these five types of tasks are plausible where each combination is denoted by two alphabets.
There were 14 different combinations of DF and the four discrimination tasks (DF1 = 4 combinations; DF2 = 6 combinations; DF3 = 4 combinations).
Since microRNA:mRNA target prediction algorithms use different combinations of features to perform the same task, it is useful to analyze the distribution of these predictions across databases.
A support vector machine exploiting a linear kernel is trained on different combinations of feature sets for each classification task.
