Sentence examples for complexity signifies from inspiring English sources
For politicians in the nation states, but also on the European level, this complexity signifies a great challenge.
Furthermore, it is a point worthy of mention that with a marginal variation in MOS-LQO, a low level of search complexity signifies a superior system performance, e.g., the proposed method at N = 2 and N = 3.
Complexity used to signify progress -- it was the frisson of a new gadget, the riddle of some advance in technology.
Opportunities for faunal exchanges with particular continents occurred in temporally distinct periods, and the presence of African, Western Eurasian, and South Asian derived taxa on the Arabian Peninsula signifies the complexity of these historical biogeographic events.
No strict definition can encompass the complexity of a word that signifies, on one hand, a kind of literature as when one speaks of the satires of the Roman poet Horace or calls the American novelist Nathanael West's A Cool Million a satire and, on the other, a mocking spirit or tone that manifests itself in many literary genres but can also enter into almost any kind of human communication.
The relatively large percentages of planula-specific TFs signify both the complexity and the importance of this stage in establishing the organism's body.
Defined by the ratio between average expected visits in a PHC or BCT and average number of visits of the reference population [ 11], an RI value equal to one signified a health complexity equal to the 2008 standard, whereas an RI >1 represented greater complexity and <1 weaker complexity.
This may signify a greater level of complexity in the connexin-zonula occludens interactions and their impact on cellular functions.
Located at inception.davepedu.com, it does one thing: plays the sound from Christopher Nolan's film Inception, which signifies that a new dream – a new level of complexity – has begun.
However, a comparison between them signifies the advantage of MLP model over RBN model in term of network complexity, generalization capability and robustness against the presence of noise in the training data.
