In this paper, we investigate the general fuzzy linear system of equations.  The  main aim of this paper is based on the embedding approach. We find the necessary and sufficient conditions for the existence of fuzzy solution of the mentioned systems.  Finally, Numerical examples are presented to more illustration of the proposed model.

The word embedding vectors obtained from neural word embedding methods, such as vLBL models and SkipGram, have become an important fundamental resource for tackling a wide variety of tasks in the artificial intelligence field. This paper focuses on the fact that the model size of high-quality embedding vectors is relatively large, i.e., more than 1GB. We propose a learning framework that can pr...

This work aims at reducing the embedding distortion of prediction-error expansion (PE)-based reversible watermarking. In the classical PE embedding method proposed by Thodi and Rodriguez, the predicted value is rounded to integer number for integer prediction-error expansion (IPE) embedding. The rounding operation makes a constraint on a predictor’s performance. In this paper, we propose a non-...

Several steganography tools are freely available over the Internet, ranging from straight forward least significant embedding to complex transform domain encrypted algorithms within digital images. Given the number of tools available, the digital forensics investigator must not only determine that an image contains embedded hidden information but the method used during the embedding process, al...

In this paper, we present a novel method to embedding secret message in the cover-image. The basic concept of the proposed method is by simple Least Significant Bit (LSB) substitution. We propose a steganography method that applies a technique to embedding a wavelet compressed secret message within the Least Significant Bit (LSB) of the cover image pixels in a specific pattern. The proposed met...