Sentence examples for recorded datasets from inspiring English sources

In this study the hydrological components of CLiDE are evaluated against analytical solutions and recorded datasets.

In [5], temporal characteristics of sea clutter and that of a range of small boats are analysed using a comprehensive set of recorded datasets.

Modeling, tracking, and evaluation are performed solely using two-dimensional (2D) approaches, although an accurate camera calibration can be obtained for newly recorded datasets [16, 17, 30, 34].

In addition, for many previously recorded datasets from biological studies such as [7], a calibration of the camera setup is not available.

We give an example to illustrate the disparity of the temporal autocorrelation functions of the sea clutter and target by analyzing the recorded datasets.

By using the fixed matrix coefficients produced by the MDA method, we computed the transient projection of neural ensemble responses throughout the recorded datasets with a 10-msec sliding window [17], [28], [30].

The recorded dataset has five sets denoted as A to E. Each contains 100 single-channel EEG signals, and each one having 4097 samples.

The electronically recorded dataset was translated from Chinese to English by the lead researcher for further analysis, as described in the following section.

The number of each recorded dataset contained 208 sorted units (for mouse#1), 258 units (for mouse#2), 242 units (for mouse#3), 232 units (for mouse#4), 308 units (for mouse 5), and 206 units (mouse 6), respectively.

For all included studies, we recorded dataset and study characteristics, health outcomes and impacts.

To demonstrate this kind of signal strength variation, we recorded two datasets in room 1 and room 7 of the laboratory site over 2 days.