Sentence examples for environment label from inspiring English sources

When I set out to work with C.E.O.'s on environmental solutions, not only was "sustainable" an unknown term but companies saw anything with an environment label as likely to go for their corporate throat.

The reason may be that the performance of environment identification and environment special DAE depended on the training data, environment label, and also the environment of test data.

Following observations can be made from Figures 5, 6 and 7: It can be observed from Figure 5 that clustering process has accurately predicted environment labels (or cluster IDs (CIDs)) for all acoustic environments except small offices (E 1−E 3) where it has predicted same environment label, e.g., C I D 1.

Also, in recognition of the multiple operating modes that a plug-in hybrid can be built with (all-electric, blended, and gasoline-only), for the new fuel economy and environment label that will be mandatory in the U.S. beginning in model year 2013, EPA and the National Highway Traffic Safety Administration NHTSAA) issued two separate fuel economy labels for plug-in hybrids.

In 2008, that potential for reducing salt usage and associated corrosion earned Sears Ecological Applications the right to carry the EPA's Design for the Environment label.

The Stockholm County Council in Sweden recently developed an environment label for pharmaceuticals, which is aimed at helping health professionals and patients to assess the drug's potential impact on the environment [ 18].

and σ with predicted environment labels for all speakers in all four acoustic environments.

The environment labels depended on room type and the distance between the microphone and speaker.

Shown in the left panel of Figure 5 is the true acoustic environment labels for the estimated parameters and shown in the right panel of Figure 5 is the predicted acoustic environment labels using DBSCAN-based clustering.

In this environment, labels shy away from taking risks and turn down potentially great artists for those whose sound seems familiar enough to guarantee success.

It can be observed from Figure 11 that the proposed framework is capable of correctly predicting environment labels for speech recordings with very high accuracy.