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We selected the FADE function to incorporate predicted residue contacts into Rosetta's native energy function.
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The function w (t) is also referred as the fading function.
In addition, it uses a weighted value w to apply fading function and decay concept.
The fading function w (t) is a non-monotonic decreasing function which decays uniformly with time t.
The decreasing trend of thermodynamic parameter Ea with increasing C_rate in the capacity fading function is deduced with increasing battery temperature when increasing discharge C_rate.
Consequently, by determining the time interval for fading function, outlier and novel micro-cluster detection is not required.
For managing evolving data, a fading function with decay concept has been employed by DCSTREAM to detect expired micro-clusters.
Due to the use of a simple fading function and decay concept with batch processing these problems in ConStream are disappeared for DCSTREAM.
Despite of ConStream that employs incremental online processing to cluster data, DCSTREAM exploit batch processing with fading function to manage both evolving data and detecting outliers.
Propose an algorithm to detect concept drift and simplified fading function for removing expired micro-clusters and detect novel micro-clusters and outliers in batch processing. .
In contrast, DCSTREAM detect novel micro-clusters and outliers after each stream processing automatically and uses fading function only for expired micro-clusters to remove from the active memory.
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