Sentence examples for classification monitoring from inspiring English sources

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A monitoring system was established with support of RS, GIS and multi-media technology for classification, monitoring and utilization decision-making of farmland.

The research, produced in collaboration with a variety of chemical engineering users of knowledge, promotes ontologies and semantically enriched models to enable knowledge sharing, classification, monitoring and reuse.

Advances in our understanding of the molecular basis of cancer initiation, progression and metastatic expansion have raised hopes for quick translation of this new data for improved cancer detection, classification, monitoring and especially treatment.

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Typical tasks for expert systems involve classification, diagnosis, monitoring, design, scheduling, and planning for specialized endeavours.

It can provide useful information for many SAR applications such as automatic target recognition, classification, crop monitoring and so on.

Underwater multimedia sensor networks enable several new applications, such as target tracking, advanced coastal multimedia surveillance, undersea explorations, image acquisition and classification, environmental monitoring, and disaster prevention.

Disease-specific interaction networks, network biomarkers, or DNB have great significance in the understanding of molecular pathogenesis, risk assessment, disease classification and monitoring, or evaluations of therapeutic responses and toxicities.

The assessment of river hydromorphological conditions is required by the European Water Framework Directive 2000/60 (WFD) for the classification and monitoring of water bodies and is useful for establishing links between their physical and biological conditions.

A hybridization protocol was established, and the subset of the best performing probes for each species or clade was determined and recommended for classification and monitoring of field samples in the high throughput microarray format.

These new efforts are producing a wide array of technologies aimed at improving detection, classification, and monitoring of gastrointestinal neoplasia, especially for colorectal and esophageal cancer because of easier accessibility.

This rich source of information could be utilized to better understand the cell of origin of the subtypes and the steps of carcinogenesis, to identify appropriate model systems for future studies, and to discover candidate biomarkers for disease detection, classification, and monitoring.

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