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Search results for: wavelet
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Year: 2012, Volume: 12, Number: 2
... vol.40, 2009, pp.323 – 333. 2008, 2008, pp.333-342. [23] T. He, S. Wang and A. Kaufman, "Wavelet-Based Volume [12] A. S. M. Houston and S. Napel, "Fast Volume Segmentation With Morphing," Proceedings of Visualization '94; ...
Year: 2012, Volume: 12, Number: 2
... . Xiao, Y. S. Liang and Y. L. Liu, "Rough set and information supplied by the WAMS is the key problem for fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power the backup protection based on the identification of fault. In transformers," ...
Year: 2022, Volume: 22, Number: 4
... 4] A. D. Spyronasios, M. G. Dimopoulos, and A. A. Hatzopoulos, analog circuit fault diagnosis using 1-D convolutional neural "Wavelet Analysis for the detection of parametric and catastrophic network," IEEE Access, vol. 8, pp. 18305 – 18315, 2020. faults in mixed-signal ...
Year: 2023, Volume: 23, Number: 1
... . such as STRRED [30]. STRRED uses Gaussian scale The media-layer models use audio or video signals to mixture (GSM) to model the statistics of wavelet evaluate QoE. These models do not require any prior coefficients and compute the entropic differences (RRED) knowledge about the system under consideration, such as between ...
Year: 2011, Volume: 11, Number: 3
... , vol. 28, no. 1, [2] M. Bi, S. H. Ong, and Y. H. Ang, "Wavelet-based image pp. 84-95, January 1980, Available: compression using classified interpolative vector quantization," http://dx.doi.org/10.1109/TCOM.1980.1094577. Optical ...
96. Transfer Learning Based Convolutional Neural Network for Classification of Remote Sensing Images
Year: 2023, Volume: 23, Number: 4
... images using a combination Neural Network (S-CNN) with supervised feature extraction of MobileNetv2 transfer learning model and Discrete was proposed for hyperspectral image classification [18]. Wavelet Transform (DWT) was proposed [7]. Multi-objective neural evolution based network architecture Remote sensing scene classification based on CNN with was proposed for remote sensing ...
Year: 2011, Volume: 11, Number: 2
... dx.doi.org/10.1109/TPDS.2009.14. 010-0022-8. [7] G. Li, C. Zhu, and X. Li, "Application of chaos theory and wavelet to [26] H. Abusaimeh, and S. Yang. Dynamic cluster head for lifetime modeling the traffic of wireless sensor networks," 2010 International ...
Year: 2010, Volume: 10, Issue: 4
... , Dokopoulos P, "A fuzzy expert system for the forecasting of wind speed and power generation in wind farms", In: methods such neuro-fuzzy algorithms or wavelet 22nd IEEE Power Engineering Society international conference on transformation. Anyway, forecasting methods are generally power industry computer applications, 2001. PICA 2001. Innovative based on ...
Year: 2010, Volume: 10, Issue: 1
... analysis", Pattern Recognition analysis theory. Letters, vol. 27, pp.1515-1521, 2006. [14] X. Otazu and O. Pujol, "Wavelet based approach to cluster analysis. ACKNOWLEDGMENT Application on low dimensional data sets", Pattern Recognition Letters, vol. 27, pp.1590-1605, 2006. The authors ...
Year: 2014, Volume: 14, Number: 3
... on sensitive [18] S.A. Saleh, M.A. Rahman, Modeling and protection of a three-phase protection functions How to configure adjacent relays to avoid transformer using wavelet packet transform, IEEE Trans. Power nuisance tripping?, 59th Annual Conference for Protective Relay Deliver. 20 (2) (2005) 1273 – 1282 ...
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