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Saurabh Agarwal and Ki-Hyun Jung
Digital images are very popular and commonly used for hiding crucial data. In a few instances, image steganography is misused for communicating with improper data. In this paper, a robust deep neural network is proposed for the identification of content-...
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Muhammad Sheraz, Shahryar Shafique, Sohail Imran, Muhammad Asif, Rizwan Ullah, Muhammad Ibrar, Jahanzeb Khan and Lunchakorn Wuttisittikulkij
Data caching has emerged as a promising technique to handle growing data traffic and backhaul congestion of wireless networks. However, there is a concern regarding how and where to place contents to optimize data access by the users. Data caching can be...
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Diego Borme, Sara Legovini, Alessandra de Olazabal and Valentina Tirelli
Food availability is thought to exert a bottom-up control on the population dynamics of small pelagic fish; therefore, studies on trophic ecology are essential to improve their management. Sardina pilchardus is one of the most important commercial specie...
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Akrivi Krouska, Christos Troussas and Cleo Sgouropoulou
This paper presents a novel cognitive diagnostic module which is incorporated in e-learning software for the tutoring of the markup language HTML. The system is responsible for detecting the learners? cognitive bugs and delivering personalized guidance. ...
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Waqas ur Rahman, Md Delowar Hossain and Eui-Nam Huh
Video clients employ HTTP-based adaptive bitrate (ABR) algorithms to optimize users? quality of experience (QoE). ABR algorithms adopt video quality based on the network conditions during playback. The existing state-of-the-art ABR algorithms ignore the ...
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