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Chung et al. [19] made a detailed evaluation about the suitability of Docker in HPC environments and found that Docker is more suitable for data intensive applications.
Such speeds makes Molpher highly suitable for data intensive tasks.
The method is suitable for data with abnormal distribution.
The proposed methodology is particularly suitable for data scarce areas.
Unfortunately, they are not suitable for data in the form of single directional point clouds.
The method does not involve statistical analyses and is suitable for data with abnormal distribution.
However, only 102 questionnaire sheets were completed and deemed suitable for data analysis.
In this paper, we propose a next generation cloud deployment model suitable for data intensive applications.
The data processing procedure was suitable for data process, and the final result was good.
Eighty-eight percent of the questionnaires returned (65/74) were suitable for data analysis.
This indicates that XMT may be suitable for data recovery from parchment samples that cannot be unrolled.
More suggestions(16)
suitable for datasets
relevant for data
convenient for data
suitable for communications
reasonable for data
desirable for data
proper for data
adequate for data
ideal for data
usable for data
unsuitable for data
suitable for dataset
suitable for evidence
suitable for data collection
suitable for reporting
suitable for data processing
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CEO of Professional Science Editing for Scientists @ prosciediting.com