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However, before placing any weight on them, the realism of these scenarios needs to be closely examined.
At one level, the analysis in level 3 is very similar to that in level 2. A set of scenarios needs to be identified that describes alternative future outcomes, and analysis should focus on the trigger events signaling that the market is moving toward one or another scenario.
As a result, the time domain synchronization in spectrum sharing scenarios needs to be enhanced, for example, by introducing a prefiltering stage, and its complexity increases.
Despite the work that has been done in this area, more robust and efficient methods of Computational Imaging are still demanded in many application domains, such as in medicine, and their validation in real scenarios needs to be examined urgently.
Their application to different scenarios needs to be analyzed for a CR; each individual node has to be provided with a pre-trained network or a set of training examples mapping observations to correct actions.
The analysis for deriving the exact expressions of average end-to-end packet delay in these scenarios needs more investigation, as the effect of the relay selection policy should also be taken into account, and is an interesting research topic for future works.
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It's almost as if such outlying scenarios need to be put in perspective.
But if forecasts should be taken with a pinch of salt, these so-called scenarios need the whole salt mine.
Moreover, complex clinical scenarios need to be encoded by a medical terminology with comprehensive content.
As more High Dynamic (HD) scenarios need to be simulated, the testbeds require Multi Input Multi Output MIMOO) and robust control systems.
Importantly, these two possible bootlegger scenarios need not be mutually exclusive, as many large financial institutions now have their own hedge funds.
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