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algorithmMusic genre
data miningDisease
optimizationCultivar (cultivated variety)
neural networkMusic genre
This research introduces a method of steganalysis by means of neural networks and its structure optimization. The main aim is to explain the approach of revealing a hidden content in jpeg files by feed forward neural network with Levenberg-Marquardt training algorithm. This work is also concerned to description of data mining techniques for structure optimization of used neural network. The results showed almost 100% success of detection.P(ED2.1.00/03.0089), P(GA102/09/1680), S, Z(MSM7088352101
Image steganalysis is a technique for detecting the presence of hidden information in images, which ...
The problem of protecting information from unauthorised and undesired use is becoming more complex s...
The prevailing detectors of Steganography communication in digital images mainly consist of three st...
This paper is aimed on the technique for detection of cover and stego images by means of artificial ...
This book is focused on the revealing of hidden information present in multimedia files, mainly in p...
The paper deals with a steganalysis of PQ algorithm by means of neural networks. The paper continues...
Seganalysis has recently attracted researchers ’ interests with the development of information hidin...
The main idea of this paper is to compare feature selection methods for dimension reduction of the o...
This paper reports a comparative analysis of accuracy in the detection of steganograms formed accord...
This paper reports a comparative analysis of accuracy in the detection of steganograms formed accord...
© 2016, Springer Science+Business Media New York.Mathematical models based on human neuronal network...
Abstract: Levenberg-Marquardt (LM) Optimization is a virtual standard in nonlinear optimization. It ...
Steganalysis researches for the techniques used to reveal the embedded messages that is hidden in a ...
Digital image steganography is the process of embedding information within a cover image in a secure...
The problem of Artificial Neural Network (ANN) structure optimization related to the definition of o...
Image steganalysis is a technique for detecting the presence of hidden information in images, which ...
The problem of protecting information from unauthorised and undesired use is becoming more complex s...
The prevailing detectors of Steganography communication in digital images mainly consist of three st...
This paper is aimed on the technique for detection of cover and stego images by means of artificial ...
This book is focused on the revealing of hidden information present in multimedia files, mainly in p...
The paper deals with a steganalysis of PQ algorithm by means of neural networks. The paper continues...
Seganalysis has recently attracted researchers ’ interests with the development of information hidin...
The main idea of this paper is to compare feature selection methods for dimension reduction of the o...
This paper reports a comparative analysis of accuracy in the detection of steganograms formed accord...
This paper reports a comparative analysis of accuracy in the detection of steganograms formed accord...
© 2016, Springer Science+Business Media New York.Mathematical models based on human neuronal network...
Abstract: Levenberg-Marquardt (LM) Optimization is a virtual standard in nonlinear optimization. It ...
Steganalysis researches for the techniques used to reveal the embedded messages that is hidden in a ...
Digital image steganography is the process of embedding information within a cover image in a secure...
The problem of Artificial Neural Network (ANN) structure optimization related to the definition of o...
Image steganalysis is a technique for detecting the presence of hidden information in images, which ...
The problem of protecting information from unauthorised and undesired use is becoming more complex s...
The prevailing detectors of Steganography communication in digital images mainly consist of three st...
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