Sentence examples for data is not suitable from inspiring English sources
It indicates that the model used for retrieving M2 from radar data is not suitable for the turbulent conditions met during the UAV5 flight.
Due to this challenging problem, the contention-based slot allocation to emergency data is not suitable because of collisions, retransmits the lost packets, a higher delay with lower data reliability and BMSs consume a higher energy [34].
Given that our framework relies on the estimation of the production function to compute risk measures, our data is not suitable to investigate the association between irrigation technology and production risk to a larger segment of Chile's agricultural sector, other than farms growing annual crops.
"ES data is not suitable to monitor the performance of application processing because of long-standing weaknesses in the definition, collection, and management of veteran enrollment data," the report said.
Using existing data can save both money and time; however, because of the high variability of the HLA loci, the typical read mapping and variant calling-based analysis of NGS data is not suitable to determine the HLA genotype.
Besides, the sample correlation coefficients didn't raised much after CA. Thus, these results indicate that direct curve adjustment for microarray data is not suitable and our model adjustment is necessary.
Therefore, the fault model estimated using GPS data was not suitable for the present purpose.
These data are not suitable with our inclusion criteria since a fixed appliance was used during the follow-up period.
Failure to account for this level of detail has meant that correlations of the data are not suitable for use in analyzing reactors intended to operate at high performance, especially when stability is an issue.
In contrast, structure parameters derived from discrete-return LiDAR data were not suitable for estimating forest AGB due to the less sensitivity of canopy cover CCDR2 to forest AGB.
The use of fuzzy numbers (uncertain numbers) allows one to estimate the accuracy of the model's results even when the available data are not suitable for statistical analysis.
