Sentence examples for network ignition from inspiring English sources

Planned comparisons indicate that, in the altered network, ignition begins both in central and secondary areas: both of these are active at time step 1 (F(1,5) = 7.58, p < .02 and F 1,5) = 22.73, p < .0005), when activation in primary areas is still not significant (F 1,5) = 1, p  > .1).1

Companies like Security Matters (backed by Bosch Ventures) Tempered Networks (backed by Ignition, Rally Capital) Indegy (backed by Aspect Ventures) and Nozomi Networks (backed by GGV) have raised capital in 2016 to solve for "critical infrastructure" security.

As far as aftermarket onboard computers are concerned, the only company offering one so far is Alpine, but it comes as part of a proprietary in-car network for the audio, alarm, ignition and cellular communication systems.

As before, we observed spontaneous CA ignitions occur in the network (although only 6 of the 12 learnt CAs ignited).

Donald Hebb proposed that memory traces and mental representations were implemented by connectivity within a distributed network of neurons, and that the selective re-ignition of this assembly would be tantamount to recognition and/or recall [65].

Models were developed and validated by Vasconcelos et al. (2001) to predict wildfire ignition probability by constructing regression and neural network correlations between ignition location/cause and geographical and environmental variables.

The problem of link prediction in online social networks has been actively researched in the past decade, following its ignition by the seminal work of Liben-Nowell and Kleinberg [6].

When Time Warner CEO Jeff Bewkes appeared at the Business Insider Ignition conference on Wednesday, he had no comment on the network's decision but said an announcement would come soon.

In the few cases of networks in which spontaneous addition of new species resulted in the ignition of a novel viable loop, and thus novel cores, there always existed multiple attractors (see Figure 2. for a didactic example and Figure 4 for the network used in the evolutionary simulations).

This article considers the possibility of using artificial neural networks for predicting the parameters of the model energy installation with laser ignition.

A quantitative structure property relationship (QSPR) model was constructed to predict the auto-ignition temperature (AIT) of 118 hydrocarbons by means of artificial neural network (ANN).