Sentence examples for artificial allocation from inspiring English sources
Dividing a group by a median split could be criticised due to the artificial allocation of patients to a certain group, who would otherwise be described on a continuum.
The main strength of this study lies in the fact that it is an observational study without any artificial process of subject allocation or selection, it accurately reflects the clinical reality of an inpatient unit of rehabilitation.
The numerical simulation results indicate that this proposed RA-AHAIS is an effective reader-to-reader anti-collision method, and performs better in tag identification capability and computational efficiency than the other methods, such as genetic algorithm (RA-GA), particle swarm optimization (RA-PSO) and artificial immune system for resource allocation (RA-AIS).
A strength of our study is its observational and "naturalistic" design without an artificial process of patient selection, allocation, or adaptation of the intervention.
The second approach is an artificial hormone-based agreement for task allocation introduced by Brinkschulte et al. in (Brinkschulte et al. 2007).
Although methodologically important, allocation methods create an artificial context that may influence the outcome, e.g. they could have a direct impact on the selection of participants.
The budget allocation spans everything from complex artificial intelligence to driverless cars and biotech, as well as industrial robotics.
Multi-agent decision problems, in which independent agents have to agree on a joint plan of action or allocation of resources, are central to artificial intelligence.
Ref. [11] employed artificial bee colony algorithm to solve optimal DG allocation problem where DGs are capable to generate both active and reactive power.
The optimal power allocation ratio θ for the algorithm with artificial noise is demonstrated in Figure 3.
This study proposes a systematical water allocation scheme, which integrates system analysis with artificial intelligence techniques, for decision makers to mitigate drought threats.
