Sentence examples for retrieval over from inspiring English sources

Experiments demonstrate that a 20% improvement (in retrieval) over the current LSI model is possible.

The present study explains a radiative transfer based method for rain retrieval over the global land and oceans.

Information retrieval over semantic metadata [1] has received a great amount of interest in both industry and academia.

To make the description clearer, we first present an overview of ICN-based content cache and retrieval over VANETs.

These problems make efficient full-text retrieval over a large amount of encrypted cloud data a very challenging task.

This paper demonstrates the utility of satellite scatterometer measurements for wind retrieval over the Great Lakes on a daily basis.

These are relatively simple models requiring few input data and therefore appropriate to simulate directional effects in satellite LST retrievals over large areas.

Further, HYDRUS-1D simulations can be used for characterizing spatial variabilities and temporal dynamics, assessing impact of pedological conditions and land use on ET, or validating remote sensing retrievals over regional extents.

The rationale behind the first tropospheric ozone retrieval algorithms was to isolate the stratospheric ozone column by means of limb measurements [11, 12] or total ozone retrievals over high-altitude clouds [13, 14], and then subtract it from a co-located or neighboring measurement of the total ozone column.

If these assumptions hold true, it is possible to say that total ozone column retrievals over high altitude clouds actually represent stratospheric columns, which can be subtracted from total ozone columns retrieved over neighboring clear-sky pixels to yield an approximated value for the tropospheric ozone column.

To further understand the temporal dynamics of trace memory recall, we plotted the time distribution of various ensemble trace retrievals over the retention test period.