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neural network algorithm based on the geometric concept of barycenter of convex hull, In: Computational Intelligence: Methods and Applications, IEEE Comp. Intelligence Society, Poland, 2008, pp. 1-12. [5] N. Burgess, A constructive algorithm that converges for real-valued input patterns, International Journal of Neural Systems, vol. 5, no. 1, 1994, pp. 59-66. [6] S. Fahlman and C. Lebiere, The cascade correlation architecture, in Advances in Neural Information Processing Systems, vol. 2, 1990, pp. 524-532. [7] S. E. Fahlman, Faster-learning variations on

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by Use of Ring-CSOM and Frequency-Domain Local Correlation, IEICE Transactions, 92-C(1), pp.102–108, 2009. [5] Rajoo Pandey, Complex-Valued Neural Networks for Blind Equalization of Time-Varying Channels, International Journal of Signal Processing, 1(1), pp.1–8, 2004. [6] A. J. Noest, Associative Memory in Sparse Neural Networks, Europhysics Letters, 6(6), pp.469–474, 1988. [7] N. N. Aizenberg and I. N. Aizenberg, CNN Based on Multi-Valued Neuron as a Model of Associative Memory for Gray-Scale Images, Proceedings of the 2nd IEEE International Workshop on Cellular

, vol.147, No. 9., 1121-1143, BRILL, 2010 [8] Du, Y. and Belcher, C. and Zhou, Z. and Ives, R.,: Feature correlation evaluation approach for iris feature quality measure, Signal processing, Vol. 90, No. 4, 1176-1187, Elsevier, 2010 [9] Nill, N. B, IQF (Image Quality of Fingerprint) Software Application, The MITRE Corporation, 2007 [10] Crete, F., Dolmiere,T., Ladret, P. and Nicolas, M.: The blur effect: perception and estimation with a new no-reference perceptual blur metric., Human Vision and Electronic Image in XII, 6492:64920I, 2007. [11] Li, Y.H., Savvides, M.: An

References [1] Thorn, R., Johansen, G.A., Hjertaker, B.T. (2013). Three-phase flow measurement in the petroleum industry. Measurement Science and Technology, 24, 012003. [2] Tan, C., Dong, F. (2010). Modification to mass flow rate correlation in oil-water two-phase flow by a Vcone flow meter in consideration of the oil-water viscosity ratio. Measurement Science and Technology, 21, 045403. [3] Li, Y., Yang, W., Xie, C., Huang, S., Wu, Z., Tsamakis, D., Lenn, C. (2013). Gas/oil/water flow measurement by electrical capacitance tomography. Measurement Science and

partial discharge measurements. IEEE Sensors Journal, 13 (3), 1081-1091. [11] Chiampi, M., Crotti, G., Morando, A. (2011). Evaluation of flexible Rogowski coil performances in power frequency applications. IEEE Transations on Instrumentation and Measurement, 60 (3), 854-862. [12] Chinese Standard. (1993). Quality of electric energy supply: Harmonics in public supply network. GB/T 14549-93. Beijing. [13] Isa, M., Elkalashy, N.I., Lehtonen, M., et al. (2012). Multi-end correlation-based PD location technique for medium voltage covered-conductor lines. IEEE Transations on

pipelines using filter diagonalization method. IEEE Sensor Journal , 9 (11), 1605-1614. Deng, X., Li, G. Y., Wei, Z., Yan, Z. W., Yang, W. Q. (2011). Theoretical study of vertical slug flow measurement by data fusion from electromagnetic flowmeter and electrical resistance tomography. Flow Measurement and Instrumentation , 22 (4), 272-278. Deng, X., Peng, L. H., Yao, D. Y., Zhang, B. F. (2004). Velocity distribution measurement using pixel-pixel cross-correlation of electrical tomography. Chinese Journal of Electronics , 13 (3), 548-551. He, Y. B. (2006). Research on

ROC curves. BMC Bioinformatics , 12, 77. [41] Model Evaluation: Quantifying the quality of predictions . . [42] Boughorbel, S., Jarray, F., El-Anbari, M. (2017). Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric. PLoS One , 12 (6), e0177678. [43] Iuchi, H. (2017). mccr: The Matthews correlation coefficient (v. 0.4.4) . . [44] Krizhevsky, A., Sutskever, I., Hinton, G.E. (2017). ImageNet classification with deep convolutional

analysis of Hilbert transform with band-pass FIR filters for robust brain computer interface, 2014 IEEE Symposium on CIBCI, Orlando, FL, 2014 [22] J. J. J. Davis, G. Gillett, and R. Kozma, Revisiting Brentano on Consciousness: Striking Correlations with Electrocorticogram Findings about the Action- Perception Cycle and the Emergence of Knowledge and Meaning, Mind and Matter, vol. 13, no. 1, pp. 45-69, 2015. [23] J. J. J. Davis, R. Kozma, and W. J. Freeman, The Art of Encephalography to Understand and Discriminate Higher Cognitive Functions Visualizing Big Data on Brain