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Additionally, the integration of optical and/or radar technologies, including LiDAR (Light Detection And Ranging), has the potential to improve AGB estimates because it may reduce data saturation and mixed pixel problems [35],[35]-[35].
Through this approach, the need for data entry into a database is eliminated, which is attractive not only because it reduces the amount of personnel and time dedicated to administering PRMs, but also because it may reduce data entry error.
Furthermore, long questionnaire may reduce data quality.
Whereas with inhomogeneous objects whose small details are sought, filtering may reduce data content, in this case the smoothing of the reference with sand paper is more appropriate.
Study of hormone profiles from the same subject may reduce data variation and help conclusions to be drawn, even with a limited sample size.
Additionally, the integration of optical and/or radar technologies, including LiDAR (Light Detection And Ranging), has the potential to improve AGB estimates because it may reduce data saturation and mixed pixel problems [ 35, 37- 39].
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Moreover, by eigenvalue decomposition, we may also reduce data's dimensions.
Repeated measurements of the same animal may not reduce data variability compared with measurements on different animals.
The use of coarser resolution data may reduce the data demand, but certain areas of activity may escape detection.
To help achieve this, if you use an extraordinary amount of data and fall within the top 5% of Verizon Wireless data users we may reduce your data throughput speeds periodically for the remainder of your then current and immediately following billing cycle to ensure high quality network performance for other users at locations and times of peak demand.
If you use an extraordinary amount of data and fall within the top 5% of Verizon Wireless data users we may reduce your data throughput speeds periodically for the remainder of your then current and immediately following billing cycle to ensure high quality network performance for other users at locations and times of peak demand.
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may include data
may breach data
may lose data
may enable data
may cause data
may steal data
may increase data
may require data
may reduce costs
may be data
may use data
may have data
may affect data
may remove data
may reduce crossings
may process data
may receive data
may collect data
may reduce symptoms
may influence data
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