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Particle merging can be exploited to control the number of particles in a natural way.
The merging can be done in different ways, conserving for example momentum or energy.
Results indicate that buffer requirement of VC merging can be excessive when compared to non-VC merging.
We present how resampling before merging can be beneficial to keep data handling requirements practical, whilst ensuring accurate surface representation.
Data merging can be customized and priority can be given to the pre-curated data.
Through the use of an active droplet generation method, the issue of droplet aggregation and merging can be prevented.
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This process continues until no further merge can be performed.
And then, a new merge can be executed.
In such a way, a merge can be done in O time.
However, a list of micro-clusters which are registered as frequent split and merge can be used to detect the concept drift.
Work-life merge can be chaotic, frantic and tiring however with proper planning, delegation and realistic expectations, it's achievable.
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