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Humanoids are increasingly used in the service sectors around the world to work with, or assist humans. However current humanoid designs place limitations on direct engagement with the human in terms of safety and usability. In this paper, we present an approach for the control of hybrid, high-speed and safe human-robot interaction systems with highly non-linear dynamic behavior. The proposed approach...
In this study, Electrocardiographic(ECG) Arrythmias were classified by using Artificial Neural Networks (ANN). During the training process of ANN, the ECG recordings from MIT BIH Arrythmia database are used as a reference. 24 recordings out of 48 30 minutes recordings in this database were used for data extraction. In order to have more realistic data, the extractons were made from different recordings,...
Cerebral blood flow (CBF) calculation in perfusion weighted imaging starts with the selection of arterial input function (AIF). CBF indicates the initial value of the tissue residue function found by deconvolving the tissue perfusion curve with the AIF. Conventional approach of CBF calculation by deconvolution is singular value decomposition (SVD) method. This technique is not successful if the problem...
Using Hebbian learning rule and its special case Self-Organizing Map (SOM) as unsupervised learning, a solution is proposed for defining the fiber paths which is a critical problem in diffusion tensor literature, and synthetic diffusion patterns are analyzed by artificial neural network (ANN) approach. Unsupervised learning in training neural networks is a method, where network classification rules...
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