Sentence examples for support to detect from inspiring English sources

Aerial photos are the best support to detect changes in the landscape over the time, particularly when associated with GIS based analyses.

This links to 'Social Influences' as doctors depend greatly on the nurse's support to detect the patient's signs of infection.

Kedir was diagnosed during a visit to the Derer Ebija health post, where the health extension workers had been trained, with UNICEF support, to detect pneumonia.

Reasons for this are complex and most likely attributable to historic reasons (there was limited diagnostic medical support to detect and surgically remove, as well as to treat CRC in former East Germany).

Especially in a situational awareness aspect, many researchers have predicted that the EID will support operators to detect unanticipated events.

An automated clinical decision support system to detect suspected cases, based on the principle of syndromic surveillance, is being developed at the University of Lyon's Hôpital de la Croix-Rousse.

We conclude that syndromic surveillance can support countries to detect and assess the public health impact of different types of PHEIC at the subnational level as stipulated in the IHR (2005) core surveillance capacity requirements.

The objectives of primary follow-up, according to the European guidelines, are to evaluate late treatment effects, proper wound healing, to screen for psycho-social support, and to detect possible locoregional recurrences (LRRs) (Rojas et al, 2000; Kimman et al, 2007; Aebi et al, 2011; NABON, 2012).

Unlike Android, iOS does not only provide raw sensor data to developers but also supports APIs to detect high-level motion events, like device shaking, in order to lighten developers' burden.

The preliminary use of such system by undergraduate students confirms the feasibility of using the four-phase framework with the designed system for supporting students to detect areas of improvement in subject learning.

We also provide support to automatically detect inconsistencies between product line artifacts and the models representing these artifacts after changes.