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The system uses the data gathered during this calibration to fit a model that matches ocular parameters with the known locations of the nine points.
As a result, to offer the best possible services in smart traffic lights, it will be best to collect data from all traffic lights across the city and build intelligent decision systems using this data.
Even if the system uses external data sources, it still has only a partial understanding of your interests and preferences.
Even if the system uses external data sources, it still has only a partial understanding of your interests and preferences.
The system uses accelerometer data as input and estimate user velocity.
The system uses data from urban plans and collections of geographic data from parcel-based land use zoning programs.
The system uses data mining J2EE (Java 2 Platform, Enterprise Edition), AJAX (Asynchronous JavaScript and XML), and Flex computer technologies.
The system used historical data, including arrest records and electronic police reports, to forecast crime and help shape public safety strategies, according to company and city government materials.
In order to process this volume of data, the system uses a cloud/local hybrid architecture.
This study analysed the overall effectiveness of the system, using data sets that focused on the implementation of the colorectal, breast and lung cancer fast tracks in Catalonia.
The methodology, based on calibrating the system using data recorded from capture volumes of different sizes and in trials of different durations, was applied to two different systems.
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CEO of Professional Science Editing for Scientists @ prosciediting.com