Sentence examples for manual detection and from inspiring English sources

In the flight experiments, the D-GPS, manual detection and Chan-Vese automatic detection results are recorded, respectively.

In practice, the manual detection and following of individual or groups of particles is not feasible; an automated computational method must be used.

Kemmerer and Vigna [1] outlined a handy history of intrusion detection, moving from the early days of manual detection and analysis by systems administrators in the 1970s to real-time solutions in the 1990s and early 2000s.

Manual detection and identification of butt weld joints through welding image in real-time by human observation is subjective in nature, requires experience and can be biased at times.

But, in the case of SC with small amplitude and large rise time, to decide if this event is or not a SC is not an easy task even for a manual detection, and then we have to check additional data from other observatories and also from satellites.

It is estimated that detection and analysis of photostimulation-evoked EPSCs with the software implementing our novel detection method are at least an order of magnitude faster than the human manual detection and analysis.

However, because of the highly stochastic fluctuations in the behavior of pseudopods, large data sets may be necessary, making manual detection, identification and quantification impractical.

Even with this difference between the manual and automatic lengths, the mean lengths obtained across all 26 Rat2 cell test images by automatic versus manual detection, 15.89 μm and 19.27 μm with standard errors 3.26 and 6.23 respectively, are not statistically different.

Right now, Facebook relies on automated and manual detection, as well as reports from users and advocacy groups like the ACLU on products that violate the policy.

For the Schober dataset, the MAE of the automated count to the manual count is 6.8%, and the mean length obtained by automatic versus manual detection is 13.64 μm and 13.89 μm with standard errors 2.37 and 2.27 respectively.

For the Svitkina dataset, the MAE of the automated count to the manual count is 19.96% and the mean length obtained by automatic versus manual detection is 15.95 μm and 18.18 μm with standard error 1.21 and 2.78 respectively.