Sentence examples for layered model where from inspiring English sources

This is done using a layered model where the image is progressively warped at each level to produce each output frame.

Existing routing and broadcasting protocols for ad hoc networks assume an ideal physical layer model, where two nodes communicate if and only if they are at distance at most R, where R is the transmission radius.

The overall architecture uses a three-layered model where static agents gather the fitness information, which is then passed to domain agents, which are either static or mobile agents, who are then responsible for collecting the information for inter-domain routing agents, who are responsible for electing gateway agents.

The approach extends the range of problems which can be solved analytically compared to discrete-layer models where the unknowns depend on the number of layers/interfaces.

The contents layer is the lowest layer of this model, where actual web contents in various digital forms are located.

This is achieved by including layering into the macroscopic model, where the composition of each layer is followed in time.

The thickness and composition of the diffused over-layer, shown in Fig. 1b, have been obtained by monitoring the Ge LMM and Si LMM Auger lines measured as a function of x and fitting their intensities with a discrete layer model [12] where the OL is approximated by a Si1-α Ge α thin film of variable thickness along the x-direction and uniform composition α along its depth [13].

This is consistent with the hypothesized feedforward model, where layer 4 simple cells project to neurons in layer 2/3, thereby creating classes of complex cells [87].

The work is performed by introducing numerical phantoms based on an analytical two-layered skin model for photon migration in the near infrared spectrum (forward model), where the first layer describes the epidermis and the second layer the dermis.

a Sedimentary basin model where sedimentary layer is in contact with the basement by normal faults of 45° dip.

The new variable selection method is based on the multi-layer perceptron (MLP) neural network model, where the network is trained a single time, maintaining low computational cost.