Sentence examples for which may fails from inspiring English sources

Exact(1)

Given these values, an attempt (which may fails: typical causes of failure are chaotic network behaviour or very long period oscillation) is made to estimate a period of regular oscillation for the network by computing the positions of peaks in the autocorrelation of the signals and finding the highest common factor of inter-peak periods.

Similar(59)

The bank cannot meet obligations to other banks, which may fail in turn, ruining their depositors.

There are other ideas, many of which may fail, but nearly all of which could be tested without much risk: stirring the ocean with millions of pipes would help it absorb more carbon; setting up giant vacuums could suck carbon out of the sky (and move it deep underground).

Second, the argument relies on two independence assumptions, one or both of which may fail.

These videos that undergo spatial downsampling lose many important spatial details which may fail interest point detectors.

A necessary and sufficient condition is given for the existence of βi which may fail to hold when Ai are commutative and ω does not commute with φ.

One example of this is figuring out when to intelligently retry a recurring billing charge, which may fail for any number of reasons.

Besides, the computation complexity and convergence speed of the genetic algorithm should also be taken into account which may fail some delay-sensitive services.

As opposed to classical approaches, which may fail due to the contradictions among political, ecological, socioeconomic and technological interests, the user centred approach allows the emergence of a sustainable answer in a complex eco-system in a real life context.

To tackle this problem, many pre-processing methods have been proposed, such as the first stage of the AFL algorithm, which may fail due to an insufficient number of nodes or to measurement noise.

As mentioned in Section 2, some of the previous work preset multiple spatial scales or use a single scale to detect saliency, which may fail to find the salient object.

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