Sentence examples for difficulty of detection from inspiring English sources

Table 2 Aggregated count of participants' ratings of the difficulty of detecting various obstacles Obstacle Difficulty of detection Very easy Easy Neutral Difficult Very difficult Ascending stairs 5 1 0 2 2 Descending stairs 2 1 4 1 2 Moving obstacles 5 0 1 0 4 Very small obstacles 1 0 1 0 8 Walls 7 0 2 0 1 Chairs/tables 3 1 6 0 0 People 5 3 0 1 1.

But the multiplication of the Executive adds to the difficulty of detection in either case.

"Abuses abound," it said, "because of financial windfalls, difficulty of detection, lengthy investigations and increased complexity of the market".

The fight, which endured for more than a decade, was complicated by the difficulty of detection, with the invader measuring an inch and a half, tops.

Evidence of the setting in which the inducement took place is of course highly relevant in judging its likely effect, and the court should also consider the nature of the crime involved, its secrecy and difficulty of detection, and the manner in which the particular criminal business is usually carried on.

We applied our technical contradiction to this matrix by the feature to improve, 'the difficulty of detection and measurement' and the undesired result, 'the Shape'.

Other attractions are the difficulties of detection, particularly across the Schengen borders, and the fact that in many European countries gun trafficking sanctions are less severe than drug smuggling penalties.

Whereas for some action clips in YouTube, the targets are relatively weak which lead to false detection or weak edge losing, thus increases the difficulty of edge detection.

Despite the difficulty of SV detection by sequencing methods, the majority of genome map-detected SVs were retrospectively found to have signals consistent with the presence of an SV, validating genome mapping for SV discovery.

The large size of data sets generated using hyperspectral imaging techniques significantly increases both the capability and difficulty of designing detection and classification systems.

Due to the difficulty of this detection task, the variety of solutions, sensor configurations (monocular/stereo; visible/infrared) available in the literature, we propose to break down the variability of the problem by providing exhaustive review of one specific stage: stereo-based ROI selection.