Sentence examples for constant calibrations from inspiring English sources

More specifically, initial buffering time reaches a R 2=0.635 (0.743 if model constants are recalibrated), re-buffering ratio model shows a very good behavior with R 2=0.98 (and no need of constant calibrations), and, finally, re-buffering frequency shows R 2=0.653 (0.808 if constants are recalibrated).

But that network needs constant calibration and upkeep.

It was constant calibration, and it was a tough line to walk.

The issue of the spring constant calibration is addressed using an accurate dynamic vibration approach.

The eight weeks since he'd been back had required constant calibration: spending time with his mother; easing himself into the rhythm of Odd Future, which has become a successful touring outfit; patching up his friendships with Tyler and others.

This is the heart of Naughty Dog's approach, the gruntwork that early synergistic idealists believed could be skipped if only games and films could somehow play nice – a constant calibration of gameplay on the one hand and story on the other in service of a coherent whole.

We present a comparative study between three different methods for the spring constant calibration of silicon beam-shaped Atomic Force Microscope (AFM) cantilevers, used in tapping AFM mode in air.

The spatial temporal data can be analyzed with statistical measures to reveal zones of groundwater influence, however, the personnel requirements, time to install, and time to georeference the cables can be burdensome, and the control units need constant calibration.

Small range of these values causes unfortunately too low versatility of the method and the necessity of constant calibration.

Furthermore, the cameras will require constant calibration subject to the road and weather conditions and this is still an active research thread in robotic science [99, 100].

This needs to be systematic and based on a single end-to-end AI and deep learning platform and architecture -- from edge to datacenter to cloud -- to support the constant calibration and continuous learning desired to model the evolving asset condition under varying environmental and operational parameters.