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Many algorithms have been presented to detect overlapping communities.
Several studies have been presented to detect change patterns and to analyze their types and their impact on software quality.
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A detoured path detection method is presented to detect whether or not the shortest path between nodes is detoured by measuring the path deviation between the direct and shortest paths of a node pair.
For detection, a two-phase noise detector is presented to detect impulse noise (IN).
Finally, a prototype [ 40] was presented to detect falls of elderly by using a visual fall detection system and combining this with context information, e.g., patient's general condition, location and duration of patient's inactivity.
In this paper, a data driven approach is presented to detect vuggy zones using petrophysical logs.
Moreover, an algorithm is presented to detect the collision between the robot and the obstacle.
At the beginning, different wavelet functions in different well logs are presented to detect lithologic interfaces.
A data treatment method is presented to detect fluorescence anisotropy (FA) peaks in capillary electrophoresis electropherograms.
A fuzzy observer-based approach is presented to detect the fault occurred in the dynamic system.
Extended version of the technique is presented to detect the nonlinearity using a single sensor data.
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