Sentence examples for classification schedule from inspiring English sources

In the meantime, a few lawmakers have proposed an alternative: to set up a new classification, Schedule 1R, for marijuana alone.

It is described here under the following headings: purpose, the classification schedule, schedule organization, relationship to utility patent classification, design patent titles, class and subclass definitions, hierarchy, special features, simulative designs, and cross-reference art collections and digests.

It is described here under the following topics: purpose, the classification schedule, schedule organisation, relationship to design and utility patent classification, class definition, search notes, line notes, hierarchy, and special features of plant patents, such as coloration and the effect of commercial or market practice.

According to the federal classification, Schedule I drugs have "no currently accepted medical use".

Eszopiclone, which shares some pharmacologic properties of benzodiazepines, is under the same classification, schedule IV controlled substance, as benzodiazepines (Sepracor 2005).

Select the Classification Schedule and the Manual of Classification systems to review the relevancy of a patent.

The Library of Congress does not publish a general index to the classification schedules, but a Combined Indexes to the Library of Congress Classification Schedules, compiled by Nancy B. Olson, was published independently in 1975.

In contrast, the LIDAR classification schedules led to an average classification accuracy of 64.8% and 52.3%, respectively, for the general and detailed vegetation data.

Within this we have various subgroups discussing topics such as Designing Statistical Features for Optimal Classification, Scheduling Observations, Incorporating Unstructured Information, Detecting Outliers, Light-curve Decomposition and Interpolation, Domain Adaptation, and also Designing a Data Challenge.

Subsequent integration of the LIDAR and digital image classification schedules resulted in accuracy improvements of 16 to 20%, resulting in a superior final accuracy of 91% and 80.3%, respectively, for the three and eight classes of vegetation.

For CFFR-LR, on the other hand, we are only interested in the running time of performing the location classification, scheduling and bandwidth partitioning.