Sentence examples for dissimilar output from inspiring English sources

In such conditions, it is likely to have dissimilar output powers for individual and identical wind turbines.

A wet gas meter, based on combination of two dissimilar output signals from swirlmeter, i.e. the vortex precession frequency and the differential pressure of swirlmeter, was designed and investigated in low pressure wet gas flow.

Involvement of conservative molecular modules and cellular mechanisms in the widely diversified processes of eukaryotic cell morphogenesis leads to the intriguing question: how do similar proteins contribute to dissimilar morphogenetic outputs.

The contact and friction electrifications between a harvester integrated textile and a dissimilar material can provide enough output power to energize various wearable electronics.

The image impedance of the half-section is dissimilar on the input and output ports: on the side presenting the series element it is equal to the mid-series ZiT, but on the side presenting the shunt element it is equal to the mid-shunt ZiΠ.

A margin-based loss following (Weston et al., 2008) is chosen for training: (8) This loss function encourages similar examples (where W ij = 1) to be close in output space, and dissimilar ones to have a distance of at least m from each other's output.

Dissimilar genes can produce the same developmental output; unrelated populations of neurons can subserve the same behavioural task; and different patterns of muscular contraction can yield similar movements.

This work addresses the sensitivity analysis on the settings of fuzzy inference systems where multiple, yet dissimilar inputs are aggregated and resolved into a single output.

Since an analogous gold standard gene-chemical-disease network does not exist, for us to evaluate clustering methods, we selected high performing methods used for clustering protein-protein interaction networks, with the added stipulation that their output is scalable to a more sparse and dissimilar network.

In other words, the more the states that the network visits in time are dissimilar from one another (low correlation between states), the more the output function that the network can learn to reproduce can be complex.

When using this approach, in general just one output image is considered significant, so this is not too dissimilar from using just one spectral band (usually the infrared image).