While this article presents a funny research in the first place, it was as well composed with beginner fellows in mind:
The internet is a very important source of information and it influences the development of other media. Furthermore, the growth of digital content is a big problem for academic digital libraries, so that similar tools can be applied in this scope to provide users with access to the information.
Given the importance of this, we have reviewed and analyzed several proposals that improve the processes of disseminating information in these university digital libraries and that promote access to information of interest.
As seen in the literature one of the techniques with the best results, is the application of recommender systems. These are tools whose objective is to evaluate and filter the vast amount of digital information that is accessible online in order to help users in their processes of accessing information.
In particular, we are focused on the analysis of the fuzzy linguistic recommender systems i. Thus, in this work, we analyzed some proposals based on fuzzy linguistic recommender systems to help researchers, students, and teachers access resources of interest and thus, improve and complement the services provided by academic digital libraries.==Phrack Inc.== Volume 0x0f, Issue 0x45, Phile #0x0a of 0x10 |==| |==[ The Art of Exploitation ]==| |==| |=--=[ Self-patching Microsoft XML with.
Steganography is one such technique in which presence of secret message cannot be detected and we can use it as a tool for security purpose to transmit the cofidential information in a secure way. the data and information [1,2].
Steganography combined with encryption will be a powerful and efficient tool that provides high level of security . A review on steganography research and development throughout the year will be discussed in part 2 of this paper.
Here, we present recent research and discuss the prac-tical application of detection algorithms and the mech-anisms for getting around them.
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