Sentence examples for industrial datasets from inspiring English sources

A total of 30 and 18 methods were tested for public and industrial datasets, respectively.

The comparison is done using real-life industrial datasets obtained during petroleum exploration from four distinct oil wells located in a Middle Eastern oil and gas field.

Further, to deal with the missing measurement problem that commonly occurs in industrial datasets, a marginalized CRF framework is proposed in this paper and the related inference algorithms are developed under this newly designed framework.

A case study has been carried out on several non-trivial industrial datasets, and our experimental results demonstrate that proposed method offers an effective mechanism that enables organisations to interrogate and curate heterogeneous data, and to create the knowledge that meets the need of business.

The method is evaluated using both a simulated example and a real industrial dataset.

The practical utility of the method is demonstrated by application to an industrial dataset for which both process and alarm data are available.

The effectiveness of the proposed model is validated by the industrial plant datasets from a commercial reforming process.

Even so, there is need to develop better version of ConTra which can process tens of GigaByte (GB) of data as to enable the identification of contradictory data in industrial CSV datasets.

This domain adaptation study is successfully applied on a large industrial strength dataset consisting of 22 source domains.

The results show that the proposed approach is viable and is particularly effective when the industrial-scale dataset is limited.

An industrial batch process dataset was used to illustrate the concepts.