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Year: 2020, Volume: 20, Number: 3
... will be compared.   M2  d irq M sr II. DYNAMIC MODELING OF THE DFIM AND THE FUZZY Vrd   Rr  sr  ird ... Oriented Control Till now, type-2 fuzzy logic systems have been used in The DFIM model can be described by the following state very few control applications such as nonlinear ...
Year: 2020, Volume: 20, Number: 3
... 250 40 to 88 123/127 performance metrices like modeling error, the mean square EMCI 250 48 to ... Alzheimer's Disease Neuroimaging Initiative (ADNI) database.. model with less number of samples in [18-25] ... over conventional machine learning algorithms in A number of prediction models using machine learning identifying the complex patterns in the ...
Year: 2020, Volume: 20, Number: 3
... using parameters of time domain measures or frequency domain measures [19-21]. We chose a novel geometric measure, which is more close to real life CVD diagnose model: the relative RR intervals (rri) [22]. It defines the relative variation of two neighboring R-peaks, Figure 4. Flowchart of the AF ...
Year: 2020, Volume: 20, Number: 3
... cbmr.1994.1006. Shannon energy application is very useful and robust in [4] B. Frénay, G. De Lannoy, and M. Verleysen, "Emission modelling for detecting R-peak. supervised ecg segmentation using finite differences," IFMBE Proc., vol. 22, pp. 1212 – 1216, 2008, doi ...
Year: 2020, Volume: 20, Number: 3
... been extended Fig. 2(A) shows the model of a threshold-based to situations in which the floating ... . The bistable system is one of the typical SR models. Its essence Schmitt trigger (ST) is ... OA) [14]. The system can be modeled using the Langevin voltage comparator, Fig. 2 ...
Year: 2020, Volume: 20, Number: 3
... expensive platforms to low cost and more flexible in accurately modeling the time and frequency response of the embedded systems ... successfully such as estimation, observation, diagnostics or health model a wide range of Switched Mode Power Supply ( ... cost lowering the cost and the resource demand of RTS models, enabling them to be easily deployed both in ...
Year: 2020, Volume: 20, Number: 3
... Theobalt, "Automatic noise 1814, November 2011. doi: 10.1109/tce.2011.6131157 modeling for ghost-free HDR reconstruction," ACM Trans. Graphics, [8] ... low dynamic range (LDR) images can techniques are applied which generally use a model of HVS contain motion artefacts (ghosting) if the scene contains to compress ...
Year: 2019, Volume: 19, Number: 4
... the structural analysis along with electromagnetic analysis on the rotor geometry. Hence, the model from Ansys Maxwell-3D undergoes structural analysis using Ansys Workbench (static structural-3D) mainly ... ) In [16], the authors proposed the analysis between various L rotor models with radial and tangential ribs of distinct q widths. However, the width ...
... . Botsis, M. Rangoussi. "Automatic detection of Zwiggelaar. "Topological Modeling and Classification of clustered microcalcifications in digital mammograms using Mammographic Microcalcification Clusters", ... , these feature vectors for 219 cases were At this point, the used classifier models for the Laplacian normalized by filtered-contrast stretched-ROIs and the original-contrast xi stretched-ROIs could not ...
Year: 2019, Volume: 19, Number: 4
... paper, a novel ANN III. ARTIFICIAL NEURAL NETWORK MODEL based approach by using hybrid DSA training method is ... parameter variables and are referred to as learning or adaptive models [11]. In order to train an ... is used and applied. Since a power system is modeled data with suitable coefficients as representation of as set ...
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