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Search results for: wavelet
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Year: 2019, Volume: 19, Number: 4
... of the peak values before and after spline reference [16], and a fast algorithm for quadratic and cubic interpolation are compared. Simulation results show that spline wavelets was provided in reference [17]. Among calculated peak points using splines and real peak values of a these, the spline curve makes it easy to ...
Year: 2020, Volume: 20, Number: 2
... Li, W. J. Jia, F. Y. Liu, et al., "Single doi:10.1002/jmri.24883 slice based detection for Alzheimer's disease via wavelet entropy and [30] J. Jovicich, S. Czanner, D. Greve, E. Haley, A. van Der Kouwe, et al ...
Year: 2020, Volume: 20, Number: 2
... images via the internet than in utilizes the pattern properties, which were obtained from the past. However, it is not easy to retrieve the desired sub-bands of wavelet packet in a heterogeneous data set image among from numerous images in databases [1, 2]. In [13]. On the other hand, ...
Year: 2020, Volume: 20, Number: 2
... P. Wang, P. Cheng, S. Lei, "Wind speed prediction with ARIMA and LSTM," In: 2018 IEEE 3rd International Conference on wavelet time series based on Lorenz disturbance," Advances in Cloud Computing and Big Data Analysis, Chengdu, pp. 589-593, Electrical and Computer Engineering, vol ...
Year: 2019, Volume: 19, Number: 3
... monotonic illumination flow to detect a copy-move forgery from MPEG videos. In changes and contrast variation; however, it is sensitive to [23] moment feature of wavelet co-efficients and optical noise and small gray-level fluctuations. Moreover, LBP also flow are combined with SVM to detect the facial expression does not incorporate the edge strengths ...
Year: 2019, Volume: 19, Number: 3
... C.; Chandrasekar, S. "Condition Monitoring of Outdoor Polymeric Insulators Using Wavelets and ANFIS", In: IEEE Int. the ANN, showed that ... maintenance teams regarding the needs for repairs and way, signal analysis techniques based on Wavelet transform replacements in-line components [1]. [13,14], ...
Year: 2019, Volume: 19, Number: 2
... was utilized to detect and classify the disturbances. This method manages to classify the disturbances with accuracy between 94% and 99%. In [16], wavelet transforms and decision tree classifier were employed to detect power quality events. In this study, online and offline configurations were tested to recognize the disturbances in a ...
Year: 2019, Volume: 19, Number: 2
... of one broken rotor bar in the induction motor techniques namely, Fast Fourier Transform (FFT), Discrete during the startup and steady state conditions of operation. Wavelet Transform (DWT), Empirical Mode Index Terms — induction motors, fault diagnosis, rotors, Decomposition (EMD), and some others for MCSA analysis ...
Year: 2019, Volume: 19, Number: 2
... P. Kanirajan and V. Suresh Kumar, "Power quality disturbance model fitting of a signal, is a speed-up of 37 times. detection and classification using wavelet and RBFNN," Appl. Soft Comput., vol. 35, pp. 470 – 481, Oct. 2015, Demonstrating the power in the ...
40. A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Year: 2019, Volume: 19, Number: 2
... . L. Cheng, S. Lei, "Wind speed optimized artificial intelligence algorithm," Energy, vol. 160, pp. 87- prediction with wavelet time series based on Lorenz disturbance," 100, 2018. doi:10.1016/j.energy.2018.07.005 Advances in Electrical and Computer Engineering, vol. 17, pp.107 ...
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