Sentence examples for data handling capabilities from inspiring English sources
The method is called 'stability mapping' and exploits the spatial data handling capabilities of Geographic Information Systems GISS) to pinpoint those specific areas of individual sites most prone to land use change.
Change detection can be precisely determined using GIS due to its high volume of spatial and non-spatial data handling capabilities (Sakthivel et al. 2010).
The gigantic expansion over the past year in both sequencing and data handling capabilities, such as data retrieval, analysis, archiving and public accessibility, was well recognized, including its impact on today's life science research.
Optical computing is becoming popular day-by-day because of its ultrahigh processing speed and huge data handling capability.
All that's happened is that technological innovations in data handling capability (made by companies like Google to deal with the scale and complexity of Web 2.0) temporarily leapt ahead of our progress in learning how to apply them — progress we make through experimentation.
Like minicomputers, early microcomputers had relatively limited storage and data-handling capabilities, but these have grown as storage technology has improved alongside processing power.
The smaller players typically do not have the geographic reach, bargaining power or data-handling capabilities of their larger competitors, said Dan Gustafson, an antitrust lawyer who recently helped write a letter to the F.T.C. objecting to the merger on behalf of the American Antitrust Institute, a Washington organization.
The accuracy of the Vector Averaging Current Meter (VACM), for example, has been improved appreciably by the use of integrated circuits, as has its data-handling capability.
Maybe you're seeing that $50,000,000 they invested into their data network handling capabilities specifically for the iPhone launch?
The data handling requirements are beyond the capabilities of the traditional data management systems.
The platform includes increased sensitivity, larger sample handling capabilities, and automated data processing to improve throughput.
