scholarly journals Comparative analysis of artificial intelligence techniques for the prediction of infiltration process

Author(s):  
Balraj Singh ◽  
Parveen Sihag ◽  
Abbas Parsaie ◽  
Anastasia Angelaki
Author(s):  
Tengku Balqis binti Tengku Abd Rashid ◽  
Jamaludin bin Sallim ◽  
Yusnita binti Muhamad Noor

Author(s):  
Channapragada R. S. G. Rao ◽  
Vadlamani Ravi ◽  
Munaga. V. N. K. Prasad ◽  
E. V. Gopal

This Chapter presents a brief review of the work done during 1990-2013, in the application of intelligent techniques to digital image watermarking. The review discusses many papers of the gray-scale and color images than other multimedia. The review is structured by considering the type of technique applied to solve the problem as an important dimension. Consequently the papers are grouped into the following two families, (i) Neural networks, (ii) Fuzzy logic. Comparative analysis of different techniques is also presented. Finally, the review is concluded with future directions.


Author(s):  
Juveriya Afreen

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.


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