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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. [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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Neural Network Estimation of Tourism Climatic Index (TCI) Based on Temperature-Humidity Index (THI)-Jordan Region Using Sensed Datasets

world climates for tourism, The Canadian Geographer. 29: 220-233. [8] Vitt R., Gulyás A. and Matzarakis A. (2015). Temporal Differences of Urban-Rural Human Biometeorological Factors for Planning and Tourism in Szeged, Hungary. Advances in Meteorology, Volume 2015. [9] Xinghuo Yu, M. Onder Efe, and Okyay Kaynak, A General Back propagation Algorithm for Feedforward Neural Networks Learning. IEEE Transactions On Neural Networks,Vol. 13, No.1, january 2002. [10] Mohsen Hayati, and Zahra Mohebi,” Application of Artificial Neural Networks for Temperature

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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. [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. [12] Ch. Parent, S. Spaccapietra, and E. Zimányi, Conceptual Modeling for Traditional and Spatio-Temporal Applications

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