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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: 2022, Volume: 22, Number: 2
... & Energy Systems, 2022, 134: 107365. modeling and wind energy resource assessment based on polynomial doi ... , it is difficult to select wavelet basis and statistical model is applied to point forecasting, and the decomposition ... ], and mixed I. INTRODUCTION application of various models [14-19]. However, the strong stochastic ...
Year: 2012, Volume: 12, Number: 4
... is organized as follow: in the second section, Modeling, Queuing theory, Simulation we give the related ... average packet delay in architecture. First, an analytical model is developed based on NoC [8]. ... describe the packet size. In the performance through analytical models, which can one clock period, only one ...
Year: 2016, Volume: 16, Number: 4
... circuit theory to Index Terms — bioimpedance, biological system modeling, represent similar properties in biological materials. Since ... Novel Non-Iterative Method for Real-Time Parameter Estimation of the Fricke-Morse Model Mitar SIMIĆ1, Zdenka BABIĆ1, Vladimir RISOJEVIĆ1, ... nonlinear least squares (CNLS) data Structure of the models of biological tissues depends on fitting is often used ...
Year: 2015, Volume: 15, Number: 1
... the lack of data poses serious problems. Unsupervised acoustic modeling can (as opposed to the vast amounts of ... ASR Systems for Under-Resourced Languages through a Novel Unsupervised Acoustic Model Training Technique Horia CUCU1, Andi BUZO1, Laurent ... ASRs for English, Mandarin, Arabic, create acoustic models for Spanish and German. In [5 ] ...
Year: 2018, Volume: 18, Number: 4
... ] H. T. Kahraman, "Metaheuristic linear modeling technique for motor drives," Neural Comput. ... Computer Engineering Volume 18, Number 4, 2018 Simplified Model and Genetic Algorithm Based Simulated Annealing Approach for Excitation ... [28], GA is utilized for the ANN models based on the emulating of human nerve design of ...
Year: 2007, Volume: 7, Issue: 1
... electric arc reason it must be used special techniques of modeling the from the reference literature [5] – ... possible the important conclusions related to the validity of each model, behavior of the real electric arc. In ... element. For this The authors have analyzed the main models of electric arc reason it must be used special ...
Year: 2016, Volume: 16, Number: 1
... could fulfill the vehicles requirements [6]. Matlab modeling and simulation. A set of parameters are considered ... Electric traction is one of the most promising technologies The model block diagram used in simulation is shown in that ... simulation evolved into an actual design tool. Accurate battery models have a high contribution in the development [3 ...
Year: 2009, Volume: 9, Issue: 1
... Mihailescu. Optimisation of electrostatic separation processes using response surface modeling. IEEE Trans. Ind. Appl., ... voltage factors. The aim of this paper is to model the critical HV Electrode breakdown voltage in a " ... electric discharge of air, and some mathematical controlled. models were proposed for the critical breakdown voltage. As ...
Year: 2011, Volume: 11, Number: 3
... , Number 3, 2011 Applying of an Ontology based Modeling Approach to Cultural Heritage Systems Dorin-Mircea POPOVICI1,2 ... by means of and the activities described in the domain model. OWL (Web Ontology Language), while ... are The potential of using ontologies in the VR, as a mix expressed through the (far less standardized ...
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