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To overcome such problems, we propose camera motion cancelled features.
For larger problems, we propose two meta-heuristics based algorithms.
To solve time-dependent natural convection problems, we propose a fully decoupled monolithic projection method.
In order to overcome all these problems, we propose to exploit available a priori information.
For these problems, we propose our cross-layer schemes with the same basic steps.
To overcome these two problems, we propose a nested thresholding method.
To resolve these problems, we propose a novel NEMO support protocol with a DRO scheme.
In order to solve the above problems, we propose a multi-feature crowd fusion location model.
In order to alleviate the problems, we propose several solutions that are unique to graph algorithms.
To address the aforementioned problems, we propose a verification algorithm (Algorithm 3).
In order to minimize or even eliminate these problems, we propose thermal-aware scheduler (TAS) algorithms.
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