Sentence examples for data processing efforts from inspiring English sources

We gratefully acknowledge the data collection efforts of Carl Lind, the data processing efforts of Margaretha Marklund, Kerstin Nilsson, Lars Holm, Karin Holmkvist, Johan Hultman, and Niklas Lindfors, as well as the software development efforts of Per Gandal and Dr. Mikael Forsman.

While data collection and processing efforts are preliminary data stages, it is the data visualization stage that plays a vital role in understanding the valuable information concealed inside the data.

) I believe Ava was the result of an accident – some serendipitous event that sprang out of Bluebook's unprecedented data collection and processing efforts and made the first version suddenly possible.

Geoffrey Crew, an astronomer at MIT who helped coordinate the data processing, compared the effort to discerning a concerto played at a piano that is missing several keys.

Data processing time and effort can be greatly reduced by streamlined data collection, and analysis will be strengthened by iterative improvement of survey questions.

The more difficult it becomes for an average citizen to oversee and understand all the elements of the data processing, the larger the efforts should become for the data controller to demonstrate that information was provided based on specific…information' (Article 29 Data Protection Working Party 2011, p 20).

Large-scale data processing applications often coordinate effort among multiple computers.

The orbital characteristics of the mission, which includes a pair of satellites flying side by side, has prompted new efforts in data processing and modeling.

CMB data analysis: A major effort is data processing and analysis and the development of new techniques and algorithms.

It has been debated as to whether participants of indicator-rating panels, who are usually expert clinicians, are qualified to rate the feasibility of indicators and to address operational issues of indicator implementation, such as the time and effort of data processing that is required after data has been collected [ 30].

The main goal of this paper is partial automation in data processing and collection with minimal administrative efforts, enabling mass-generation of annotated visual data of construction materials, which can potentially advance cognitive computing within the domain of construction engineering and management.