Sentence examples for an integrated visual from inspiring English sources
We provide techniques to improve the performance of each of these components in an integrated visual analytics framework.
We describe GATE, the General Architecture for Text Engineering, an integrated visual development environment to support the visual assembly, execution and analysis of modular natural language processing systems.
It is being developed to demonstrate the feasibility of using an integrated visual navigation system and inertial navigation system to navigate between intermittent global positioning system fixes whilst providing an enhanced imaging and tracking capability.
Foot-LITE provides the driver with feedback and information on Smart driving behaviours in the vehicle in real time via an integrated visual interface presented on a Smartphone.
In this paper, we presented an integrated visual analytics toolset composed of a single-user desktop application and a collaborative touch-table system.
By providing support for all four sharing processes, we form an integrated visual analytics system which reflects the analytical processes carried out by real-world experts.
Crabb et al in 1998 described a method known as integrated visual field (IVF) to simulate a binocular visual field using data from monocular visual fields [ 5].
RoBuST provides a comprehensive platform for integrated visual analysis of various types of sequence annotations from 294 Alliaceae and 816 Apiaceae plant species.
This article is a summary of research results on integrated visual information management system of the mine ventilation and safety used in No.2 coal mine of An Jia ling, and a GIS-based graphical system is developed, including the system function design, the system database construction and collation, integration and management of data.
Omega Centauri, with an (integrated) absolute visual magnitude of −10.26, is the richest cluster in variables, with nearly 200 known in the early 21st century.
Results: We have developed the Paintomics web server as an easy-to-use bioinformatics resource that facilitates the integrated visual analysis of experiments where transcriptomics and metabolomics data have been measured on different conditions for the same samples.
