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On the controllability of networks with nonidentical linear nodes
(Oxford University Press, 2018)
Removing Unclassified Hand Tremor Motion from Computer Mouse Input with Neural Networks
An artificial neural network based filter to remove unwanted tremor-induced motion in computer mouse input is presented and tested. A method to efficiently capture appropriate training data is shown to be important in the ...
Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training
Neural network is widely used for image classification problems, and is proven to be effective with high successful rate. However one of its main challenges is the significant amount of time it takes to train the network. ...
An analytic Study of the Key Factors Influencing the Design and Routing Techniques of a Wireless Sensor Network
A wireless sensor network contains various nodes having certain sensing, processing & communication capabilities. Actually they are multifunctional battery operated nodes called motes. These motes are small in size & battery ...
Deep Belief Network and Auto-Encoder for Face Classification
The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...
A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of ...