Sentence examples for intermediary layer of from inspiring English sources

What that means in practice is a network that does away with an intermediary layer of servers and datacenters — replacing that with peer-to-peer infrastructure.

We then propose to exploit the concept of Fog Computing in Healthcare IoT systems by forming a Geo-distributed intermediary layer of intelligence between sensor nodes and Cloud.

The company developed a hybrid CNT emitter that produces a greater number of electron sources per tube, thereby increasing the density of current produced; and the laboratory's most significant advancement, Jong-Min Kim explained, was the placing of an intermediary layer of silver or titanium on top of the CNTs, which are then flipped upside down, to improve conductivity.

What that means in practice is a network that does away with an intermediary layer of servers and datacenters — replacing that with peer-to-peer infrastructure the users of the network are also acting as the network infrastructure by donating a portion of their spare hard drive capacity — with built in incentives for them to do so in the form of a network specific cryptocurrency.

Even if he did so in the billionaire's fashion — through multiple intermediary layers of deniability — wouldn't he be handing Martoma the ammunition for a lifetime of blackmail?

Smooth transitions of colour are possible because portions of the intermediary layers of paint can be wiped or removed as the paint dries.

Based on these findings, we propose a new model for the regulation of FA dynamics in which this juxtamembrane domain acts as an intermediary layer, enabling an efficient regulation of FA formation and reorganization.

The scratch results combined with other test results in performances maps underline the role of an intermediary layer in order finally to better design multilayer polymeric coatings.

All pruning algorithms presented in this paper have been modified by the authors to do pruning of neurons, in order to produce fully connected MLP networks but being small in its intermediary layer.

Each classifier determines the intensity level of the classified AU for each frame in the video sample and fetches the result to the intermediary layer where the AU activity map is built.

Lastly, we propose a novel multi-state face model architecture for the personality prediction task built on three layers, introducing a novel intermediary layer where the facial muscle activity is stored in a specifically designed map and then fetched to the top layer where a set of 16 neural networks assess each of the 16 personality traits in a pattern recognition task.