The phrase "apply connection" is not standard in written English and may cause confusion.
It could be used in contexts related to establishing or utilizing a connection, but it lacks clarity without additional context.
Example: "To enhance the network's performance, we need to apply connection protocols effectively."
Alternatives: "establish connection" or "utilize connection".
In their investigation of grouping cell connections, they linked their findings to Gestalt grouping principles such as 'connectivity', and 'convexity' by applying connection weights based on different sizes of receptive fields in the cortex which was modelled based on multiscale and orientated DoG filters.
To provide QoS for data transmissions in WiMAX networks, BS generally applies a Connection Admission Control (CAC) scheme which determines whether a new connection should be established according to the available network resources.
The delay differentiation being applied to connection delays, the adopted QoS metrics in this work are the connection delay guarantees.
This technique was applied in connection with his radiomicrometer (1888) for measuring radiant heat and also in connection with his elaboration (1895) of Henry Cavendish's experiment relating to the Newtonian constant of gravitation.
The technique is general purpose and can be applied in connection with any thermodynamic models.
We present a simple, distributed reasoning system for the first order logic, which applies a connection calculus as an inference method.
These coatings are usually applied in connection with the fibre drawing process, and these coating techniques cannot be used for coating existing fibres.
This implies that additive construction can be successfully applied in connection with general housing projects only if housing in general changes to become more optimised and more individualised.
Then, for each resource, a Kaufman Roberts (K R -based algorithm [2, 3] is applied using connection attempts to produce the estimated accessibility for each service class (CS and PS).
A typical deep learning approach consists of three phases: (i) training a deep learning model from training data with pre-defined labels; (ii) pass the images through the trained model to extract the feature representations; and finally (iii) applying fully connection layers of the deep architecture or other models such as K-nearest neighbor (KNN) to obtain the best match images.
