COMPLEX NETWORKS 2018 : The 7th International Conference on Complex Networks and Their Applicationsmsch
The Bayesian network is a directed acyclic graph which is composed of nodes representing the variable and directed arcs connecting these nodes. The directed arcs represent the relationship between variables and the relationship strength between the node and the parent node can be represented by the ...
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3. RF Modelling of a MEMS-based Variable Capacitor In this section the complete modelling approach involving the RF and electromechanical behaviour of MEMS devices is introduced and discussed. A lumped element network describing the intrinsic RF-MEMS device and all the surrounding parasitic effects ...
The existing slime mould algorithm clones the uniqueness of the phase of oscillation of slime mould conduct and exhibits slow convergence in local search s
HPCCS 2015 : 7th High Performance Computing for Complex Systems, Theory and Applications Workshopwspataro
The 7th High Performance Computing for Complex Systems, Theory and Applications Workshop, together with all other WORLDCOMP Workshops and Conferences, will be held at The Montecarlo Resort Hotel, one of Las Vegas’ newly renovated luxurious hotels overlooking the Las Vegas Strip. More information ab...
The drawback of using the notch filter is delicacy in the case of variation of the system parameters, which makes it sensitive and not adaptable in all applications. In [16], the PLL based on the complex filter ensures the selective sequence filtering and the attenuation of the disturbances ...
The next step is to study the lightweight implementation of the network while ensuring recognition accuracy, reducing hardware dependencies, and improving algorithm efficiency to achieve engineering applications. Author Contributions Conceptualization, Y.C. and T.T.; methodology, Y.C.; software, Y.C....
Feature selection is required to select genes most useful for the classification of patients, according to the biologist’s target of interest. Without the selection of the most important features, it is difficult to overcome the curse of dimensionality. We have found that the variable importance ...