Morteza Khademi

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In this paper a new method based on artificial neural networks (ANN), is introduced for identifying pathogenic antibodies in Systemic Lupus Erythmatosus (SLE). dsDNA binding antibodies have been implicated in the pathogenesis of this autoimmune disease. In order to identify these dsDNA binding antibodies, the protein sequences of 42 dsDNA binding and 608(More)
(SSW) is one of the most secure techniques of audio watermarking. SSW hides information by spreading their spectrum which is called watermark and adding to a host signal as a watermarked signal. Spreading spectrum is done by a pseudo-noise (PN) sequence. In conventional SSW approaches, receiver must know PN sequence used at the transmitter and location of(More)
In this paper, a novel constructive-optimizer neural network (CONN) is proposed for the traveling salesman problem (TSP). CONN uses a feedback structure similar to Hopfield-type neural networks and a competitive training algorithm similar to the Kohonen-type self-organizing maps (K-SOMs). Consequently, CONN is composed of a constructive part, which grows(More)
In this paper a novel approach for cardiac arrhythmias detection is proposed. The proposed method is based on using independent component analysis (ICA) and wavelet transform to extract important features. Using the extracted features different machine learning classification schemas, MLP and RBF neural networks and K-nearest neighbor, are used to classify(More)
Steganography is the art and science of data hiding. This article proposes an adaptive steganographic algorithm that embeds secret data in a compressed video stream using temporal and spatial features of the video signal and human visual system characteristics. Qualified-DCT coefficients of I-VOP and motion vectors of P-VOP and B-VOP are used for spatial(More)
– This paper presents a new method in blind digital watermarking based on Discrete Cosine Transform (DCT). The image is quantized in 8×8 blocks, a DCT transform is applied to each block and a collection containing the first two AC coefficients from the DCT transform of the 8×8 image block (coefficient (2,1) and (1,2)) and the bias member, which is zero, is(More)
In this paper, an imprecise data classification is considered using new version of Fisher discrimi-nator, namely interval Fisher. In the conventional formulation of Fisher, elements of within-class scatter matrix (related to covariance matrix between clusters) and between-class scatter matrix (related to covariance matrix of centers of clusters) have single(More)
In this paper, a new shell clustering method is presented to cluster model-based shells in 2-dimensions. Shells, that each one of them can be expressed by a center and non-negative radius in each angle (by considering polar coordinate system), can cluster by using the proposed model-based fuzzy c-shells (MFCS) clustering method. In this paper, firstly one(More)
In this paper channel capacity analysis of spread spectrum audio watermarking (SSW) system for transmission of hidden information through a noisy environment is performed. Channel capacity analysis of algorithm enables us to determine the most reliable transmission rate of hidden information by the watermarking system, i.e. the analysis makes a relation(More)