Knowledge graph reasoning is the fundamental component to support machine learning applications such as information extraction, retrieval, and recommendation. Since knowledge graphs can be viewed discrete symbolic representations of knowledge, on naturally leverage techniques. However, intolerant ambiguous noisy data. On contrary, recent advances deep have promoted neural graphs, which robust d...

in this paper, a faster method for embedding cryptographic information in the image ispresented by expressing the concept of latent prints (steganography). data is encrypted bytwo methods before embedding to increase reliability. then they are embedded into the imageby a button, a method has been expressed to reduce potential noise impact on the wayinformation is encoded.

The CAN system for automatic understanding of LISP programs is presented. Uhen applied on a LISP program, CAN needs no assertion about what the program is intended to do. CAN's general task is to associate e meaning to a program, from which it is able to diagnose semantlc properties (unused portions of code, undefinitions, underused programs, classes Of data for which evaluation of an expressio...