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A Multilayered Self-Learning Spiking Neural Network and its Learning Algorithm Based on ‘Winner-Takes-More’ Rule in Hierarchical Clustering

References Bohte S.M., Kok J.N., La Poutre H. Unsupervised clustering with spiking neurons by sparse temporal coding and multi-layer RBF networks // IEEE Transactions on Neural Networks. - 13 (March, 2002), P. 426-435. Bodyanskiy Ye., Dolotov A., Viktorov Ye. Heterogeneous spiking neural network in clustering problem // Bulletin of Lviv Polytechnic National University. Computer Science and Information Technologies. - 604 (2008), P. 84-90. Image clustering with spiking neuron network

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Spatiotemporal Aspects of Big Data

, Moving Objects Databases , 1st ed. Morgan Kaufmann, 2005. [9] S. Rathee, and A. Yadav, “Survey on Spatio-Temporal Database and Data Models with relevant Features,” International Journal of Scientific and Research Publications , vol. 3, no. 1, pp. 152–156, 2013. [10] I. Ali, H. Samoon, and A. Khan, “23 killed as monsoon rains lash Karachi,” Dawn News, 2017. [Online]. Available: https://www.dawn.com/news/1355132 . [Accessed: 01-Nov-2017]. [11] “Temporal Database,” Teradata Database, Tools and Utilities Release 16.00. [Online]. Available: https

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Comparison of Video Steganography Methods for Watermark Embedding

BCH codes (15, 11),” in Wireless Telecommunications Symposium (WTS) , 2015, pp. 1–8. http://dx.doi.org/10.1109/wts.2015.7117257 [22] N. Chaturvedi and S. J. Basha, “Comparison of Digital Image watermarking Methods DWT & DWT-DCT on the Basis of PSNR,” Int. J. of Innovative Research in Science, Engineering and Technology , vol. 1, no. 2, pp. 147–153, December 2012. [23] J. Mansouri and M. Khademi, “An adaptive scheme for compressed video steganography using temporal and spatial features of the video signal,” Int. J. of Imaging Systems and Technology

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Object-Relational Database Structure Model and Structure Optimisation

Object-Relational Database,” in Proc. 34th Hawaii International Conferenceon System Sciences , USA: Hawaii, 2001, pp. 1–10. https://doi.org/10.1109/hicss.2001.926341 [11] N. Keivani, A. M. Maatuk, S. Aljawarneh, and M. A. Ali, “Towards the Maturity of Object-Relational Database Technology: Promises and Reality,” International Journal of Technology Diffusio , vol. 6, no. 4, pp. 112–120, Oct. 2015. https://doi.org/10.4018/ijtd.2015100101 [12] Ch. Parent, S. Spaccapietra, and E. Zimányi, Conceptual Modeling for Traditional and Spatio-Temporal Applications

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