Bahram Zahir Azami

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The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide efficient traffic control. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devises an adaptive and cooperative multi-agent fuzzy system for a(More)
In this paper we introduce a new method for source identification in digital image forensics. The proposed method uses local information of the inherent pattern of the camera, as a signature of the camera for source identification. Here the sensor pattern noise is used as the unique identification property of the camera. However due to content dependency of(More)
In this paper we propose a new method for feature extraction in the context of still image steganalysis. At first, a denoising algorithm is employed to generate a new version of the observation form the original image. FastICA is employed to separate two sources from the two versions of the input image. Features are extracted from these two estimated(More)
This paper addresses the design of a text-to-speech system for Azerbaijani Turkish language and also explains the database preparation for the system. Various speech synthesis methods are explained and some important linguistic features of Azerbaijani Turkish language are investigated. According to this features among the variety of synthesis methods,(More)
Steganography allows us to hide a desired confidential information in a covered or host image while image encryption is decomposing the desired information to a non-readable, non-comprehended manner. Steganography gained importance in the past few years due to the increasing need for providing secrecy in an open environment like the internet. This is made(More)