Lina Al-Kanj

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The increasing demand for large data downloads on cellular networks is increasing congestion which decreases end user quality of service. This work addresses the problem of offloading the cellular network while distributing common content to a group of mobile devices that cooperate during the download process by forming device-to-device communication(More)
This paper presents a comprehensive overview on the area of energy-aware common content distribution over wireless networks with mobile-to-mobile cooperation. It is assumed that a number of mobile terminals (MTs) that are geographically close to each other are interested in downloading the same content from a server via a base station using a longrange(More)
In this paper, we compare two different methods for automatic Arabic speech recognition for isolated words and sentences. Isolated word/sentence recognition was performed using cepstral feature extraction by linear predictive coding, as well as Hidden Markov Models (HMM) for pattern training and classification. We implemented a new pattern classification(More)