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Year: 2021, Volume: 21, Number: 3
... Neural Network (CNN) models which possesses an image with a distinct weight matrix is used. learning for classification has improved accuracies in In the beginning, we estimate various CNN models to conclude detecting the DR disease, but combined-phase classification the best performing CNN for DR classification with an results are less attractive, especially for ...
Year: 2021, Volume: 21, Number: 3
... designed a system that aimed to decision mechanism of the system achieved a higher success estimate the protocol of the data tunneled by DNS traffic. In rate in blocking ... structure of DNS tunneling the literature. techniques were analyzed and the protocol type was estimated using the entropy of packet bytes. The data set III. MATERIALS AND ...
Year: 2021, Volume: 21, Number: 3
... 1) conventional FVS. The NDDI is a forward interpolation method, used to estimate the set of values using some sets of where, i € 1, ... MFVS. The NDDI ensure that samples, is denoted by x, the new estimated value will be unique among the input 1ƒ ƒ q values. The NDDI ...
Year: 2021, Volume: 21, Number: 3
... the operating point of the PV array for the maximum PV power, system to estimate state variables [22]. To carry out the also known as Maximum ... sensor for the DC voltage vC; thus, vC MPP estimation. will be estimated by the nonlinear observer. The DC-AC In contrast with previously described works, ...
Year: 2021, Volume: 21, Number: 3
... xƒŽSi Std_COG distribution in Figure 8. The second breakpoint, where k is the number of clusters, k n, n is the number of which can be estimated in the range of 50 to 70, has been coordinates, and S= {S1, S2,.., Sk}, μi is the ...
Year: 2021, Volume: 21, Number: 3
... stage, processor based platform, used for the single phase meaning that the frequency estimate est is fed into the QSG synchronisation of a grid-connected power converter. The ... DC offset causes an AC component in the proposed with the improved DC offset compensation estimated frequency and phase angle values, which needs to parameter tuning procedure. Namely ...
Year: 2021, Volume: 21, Number: 3
... for some values of μ. Hence, considering the design of ƒ ƒƒ our LCSQ for the particular variance, we can conclude that In this case, we estimate SQNR as: one should better use the exact formulas, defined with (19) ƒ 2 ƒ SQNR() € 10 log10 ƒ ƒ. ...
Year: 2021, Volume: 21, Number: 2
... difficult the full decomposition. A diagonal operating cost, [2-3], [14]. quadratic approximation method produces an approximated A generic software for ED problems estimates the optimal block separation of the penalty term, so that the ED model is value of power to be generated with the least possible fuel decomposed into several ...
Year: 2021, Volume: 21, Number: 2
... magneto-electric coupling it is, therefore, quite clear to estimate analytically or presented in Fig. 8. numerically ... Fig. 1 and its parameters are machine can be estimated and thus leading to finding the hot depicted in ... power losses in the motor in order to use the estimates obtained as input parameters for thermal modeling [25 ...
Year: 2021, Volume: 21, Number: 2
... ) of SC2, then the current reference to the SC bank is computed by equation (7 ): where, Pn€ and Pn are the priori and posterior estimate error P € PW covariance, respectively. Kn is the Kalman gain; Rk and Qk I SC 2( ref) € smooth (7) are ...
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