Sentence examples for using the intelligence and from inspiring English sources

Using the intelligence and learning ability to perform spectrum prediction could efficiently improve the performance of distributed CWNs.

Traditional pro-carbon government support has ranged from legislatively enacted and executive branch policies (in response to powerful pro-carbon lobbies), to using the intelligence apparatus and military in support of carbon-driven market share.

The former intelligence official went on, "One of the reasons I left was my sense that they were using the intelligence from the C.I.A. and other agencies only when it fit their agenda.

"We've done everything we know how to do in searching the caves and using the intelligence tools that we have available to us," Mr. Daschle said on NBC's Meet the Press.

The US has accused Israel of spying on international negotiations over Iran's nuclear programme and using the intelligence gathered to persuade Congress to undermine the talks, according to a report on Tuesday.

What we find is that by opening up the Web, and by using the intelligence we have around this personalized publishing experience, we actually drive deeper engagement.

Read comments by and about your competition, and use the intelligence to look for your competition's weak points.

Artists could use the intelligence of the Music Genome Project and the insights from listener thumbs to combine the fan bases of two complementary bands.

The 8-year exam included an assessment of maternal intelligence and depression using the Kaufman Brief Intelligence Test (Kaufman and Kaufman 1990) and the Beck Depression Inventory (Beck et al. 1996), respectively, and family and home characteristics using the Home Observation for Measurement of the Environment (HOME) (Caldwell and Bradley 1984).

Maternal IQ was measured using the Kaufman Brief Intelligence Test (KBIT) (Kaufman and Kaufman 1990), and maternal depression symptoms were assessed using the Beck Depression Inventory (BDI-II) (Beck et al. 1996).

We investigated the role of clinical and microbial factors predictive of tuberculous pericarditis mortality using the artificial intelligence algorithm termed classification and regression tree (CART) analysis.