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Finally, we have been able to check experimentally that BFS is the best for all DBQs, but it can consume many main memory resources to perform spatial queries.
DeepMind also uses external memory resources to boost the efficiency of neural networks.
Their approach attempts to satisfy workload response time by incrementally adding CPU and memory resources to the workload.
Therefore, the destination is not forced to always consume its CPU and memory resources to verify ECDSA signature.
As explained in [16], if we apply the IF scheme to these algorithms, we can reduce their memory resources to a tiny size.
The cache mechanism can only be used effectively if the nodes that form the route have enough memory resources to support it.
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However, this approach is rather sensitive to shadows and lighting changes, since the only illumination intensity cue is used and the memory resource to implement this algorithm is extremely high.
Germane cognitive load is associated only with the instructional designs that increase the use of the working-memory resources to reduce intrinsic cognitive load during the learning process [9].
In accordance with this new proposition, the theoretical concept of germane load is thought to be useful only if it is redefined as referring to the actual working memory resources devoted to dealing with intrinsic load [ 47].
These protocols use memory resources at the intermediate nodes to achieve lower energy consumption, higher goodput, and lower delay.
For example, if the goal is to minimize the amount of memory resources required to process the FBMC signal, polyphase structures with the shortest subfilters and a minimum amount of subnetworks should be sought both in transmission and reception.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com