After classification was performed, the accuracy of 2014 LULC map was assessed by computing the error matrix which compares the classification result with ground truth data (reference data) (Table 2).
Looking at the data referenced in Table 1, the most striking discrepancy between UK and benchmark institutions is the number of invention disclosures.
We summarize this data in reference tables that encode the magnitude of response, the kinetic clusters and the sensitivity classes for pAKT and pERK.
Because of this limited data, observations using the ISO 7243 reference table complemented the heart rate data.
We also provide a summary of the available data in a form of reference table.
For this study, we were able to link practice identifying codes and postcode (i.e. zipcode) were linked with the Quality and Outcome Framework data using established reference tables[ 10, 11].
According to the prediction, our method generates a reference table to guide the allocation of next batches of data evenly.
The "reference" table contains references to published journal articles from which the data was extracted.
Reference table (RT) based embedding method embeds secret digits into pixel pairs under the guidance of a reference table.
References are listed in the reference table.
