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Hill and Minsker [10] propose a data-driven modelling approach to identify point anomalies in such a way.
The PGI algorithm is employed to identify point groups and their feature points in an initial point set by combining subspace clustering analysis and the graph theory.
Consequently, model results that identify point estimates of intervention levels necessary to terminate transmission yield limited insight into the probability of success.
Rather than deletion, we identified T cell epitopes in domain II and used alanine substitutions to identify point mutations that diminished those epitopes.
Thus, its imaging sensitivity is relatively low compared to focusing instruments and it has been mainly employed to identify point sources in astrophysics in the past.
Water quality appears to be largely influenced by suburban stormwater runoff, septic tank effluent, and relic row crop agricultural practices, though more work is required to identify point and non-point sources of nutrient loading.
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Digitizing both streamlined the process and helped identify points of delay.
Disability access audits were also used to further help identify "points of inaccessibility" in processes and systems.
We also explored the cave to identify point-sources of intrusion, and collected water and biological samples from inside the cave to identify potential ecosystem impacts of increasing cave salinity.
Thankfully it's now smart enough to identify points of interest without the driver speaking the full name.
This analysis would help to identify points of the process that require improvements.
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