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The ACoRN primary survey (algorithm) enables the nurses to evaluate the baby's condition quickly.
While the primary survey (algorithm) was seen as good, they recommended modifications so that it would be more useful and suitable for the Chinese environment.
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This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed.
Currently, the issue is that one cannot directly compare the performance of the surveyed algorithms using the data provided.
Detailed simulation experiments demonstrate the effect of various task and processor parameters on the performance of the surveyed algorithms.
It would be insightful to have a comparative study conducted to evaluate the effectiveness of the surveyed algorithms on a common, fair experimental testbed.
However, the above surveyed algorithms cannot satisfy the delay and throughput requirements simultaneously since it only adopts one-queue design for all types of traffic.
This paper surveys algorithms developed for effectively minimizing the degradation in schedule length that results from rescheduling a parallel program to multi-core systems under an energy budget.
This result is consistent with the clustering scenario which is at the heart of the recent heuristic analysis of satisfiability using statistical physics analysis (the cavity method), and its algorithmic counterpart (the survey propagation algorithm).
Gathering data it received from the U.S. Geological Survey, an algorithm wrote and published the story on the Los Angeles Times' website less than three minutes after the trembling began.
In this survey, recomposition algorithms are considered as different from retargeting algorithms since they do not necessarily imply changing the original image dimensions or the original image proportions.
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