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In addition to participants' preference, incentives for mobile crowdsensing can also be designed to dynamically change depending on factors such as the time of day, number of available participants, location and type of data captured as demonstrated in a participation-aware incentive mechanism known as SenseUtil [32, 33].
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Therefore, the mixed optimal policy is designed to dynamically switch between these types of ordering systems by monitoring forecasting error.
In order to realize the memristor-based circuit of PCNN, a threshold generator is designed to dynamically update the memristance under input excitation with the exponential memristor model.
To help cloud customers understand the tradeoff space and determine their Virtual Machine configurations, a runtime system co-designed with the configurable architecture is designed to dynamically configure the hardware by optimizing the tunable parameters in order to the meet Quality-of-Service (QoS) requirement and minimize cost.
For further characterizing broader epistasis landscape, a visualizing stage is designed to dynamically construct epistasis networks by linking pairs of the retained SNPs if their co-information values with respect to the phenotype are stronger than thresholds.
This paper focuses on the issue caused by the large amount of data processing within in-memory systems and proposes a novel approach that is designed to dynamically determine whether the data processing should be accomplished in the memory.
Several error compensation mechanisms are designed to dynamically compensate the system (e.g., hash collisions) while its states are changing, and thus substantially improve its accuracy in superspreaders identification.
Using a previously described 2D brain tumor model, we have developed four different computational methods for achieving the multi-resolution scheme, three of which are designed to dynamically train on the high-resolution simulation that serves as control.
After analyzing the constrains of primary-backup scheduling in Cloud systems caused by the dependence among tasks in the submitted workflow, an elastic mechanism in the context of fault tolerance is designed to dynamically adjust the resource provisioning based on the resource request by adopting the technology of resource migration.
However, the genotyping algorithm was designed to dynamically adapt to such variation in cluster locations.
The second step of the PRICE assembly strategy, performance of an assembly job for the collection of sequences associated with each initial contig, was designed to dynamically balance efficiency and sensitivity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com