Sentence examples for mining applications and from inspiring English sources

The framework, integrates heterogeneous and distributed medical data to accomplish data mining applications and provide computer simulation for operator driven predetermined scenarios.

The agents in the field typically operate within fixed areas (for example, benches in mining applications, and fields or orchards in agricultural scenarios), and the motion of the replenishment agent may be restricted by a road network.

During the last two years, the platform has matured into a robust translational research knowledge management system that is able to host other data mining applications and support the development of new analytical tools.

High-performance computing clusters are widely used in large-scale data mining applications, and have higher requirements for persistence, stability and real-time use and sre therefore computationally intensive.

This includes security searches, structural engineering, roads and bridge deck investigations, airport maintenance, crack detection, utility detection, archeology, forensics, environmental (including glaciology), mining applications, and the detection of unexploded ordnance (UXO).

We expect that the tools and resources resulting from this effort will have an impact in future developments of chemical text mining applications and will form the basis to find related chemical information for the detected entities, such as toxicological or pharmacogenomic properties.

In reference [5], this paper mainly introduces residual subspace analysis, addressing the anomaly detection problem in large-scale data-mining applications, and suggests a framework using compressed sensing (CS) theory.

However, under severe service conditions, experienced in seashore, earth-moving and mining applications the performance and reliability of DI are limited due to its poor wear resistance.

Other sources include industrial processes such as cement production and chlor-alkali production, and uses of mercury in mining applications, including artisanal and small-scale gold mining [ 28].

Data mining applications in business and in science, including the financial retail, and telecommunication industries, science and engineering, and recommender systems are introduced.

Our main objective is to provide efficient dynamic reconfigurable hardware architectures for data mining applications on mobile and embedded devices.