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IMS (IP Multimedia Subsystem) is confronted to various evolutions. The purpose of these evolutions is focused on enhancing subscriber experience by offering a variety of services that meets his needs and requirements. To respond to this problematic, we must consider subscriber profile information in service discovery process. IMS presents a significant mass of information of subscribers' profiles...
The article describes computational experiment and further research work in the area of identification of destructive information influence in social networks. The problem of distribution of suicidal content via open sources is presented. On the basis of calculations there was made a conclusions about the prospects of using the methods of information retrieval in the task of identification of the...
The size of data chunk diverges from 101 to 1010 bits. Generally, if a network carries in a way both of big size data and small size data, the performance is extremely degraded by the big size data. Then, we propose to select a wireless cell among of multiple cells by referring context information such as data size and user's situation such as moving velocity. Especially, we show the improvement on...
In recent years, Intelligent Assistant services have come out to respond to user requests or to perform certain functions. These services get the request input from users with natural ways such as voice or text. However, the biggest hurdle of this approach is that it is very difficult for users to know the scope of the service (feature or knowledge) and therefore it is difficult to deliver the right...
The recent advances in wireless communication techniques have made it possible for fast-moving vehicles to download data from the Internet. For the reliable data upload and download, TCP can be used for vehicular networks. However, TCP requires the connection initialization using three-way handshaking for the data exchange between two end systems over the Internet. Thus, the efficient operation of...
Survival prediction on time-to-event data associated with patients is crucial in clinical research. Cox-type regression models are widely used for such prediction, but their performance for practical survival prediction suffers due to their use of a maximum partial likelihood estimator, which undermines the effectiveness and robustness of such models. To address this problem, we propose to maximize...
In the last few years, the diffusion of the Internet of Things (IoT) architectures is at the basis of the explosive growth of data and information useful to build adaptive, intelligent, autonomous and non-intrusively systems. In this work, we explore the Cultural Heritage domain and propose an innovative methodology for adaptive and context-aware system design, presenting a semantic model of intelligent...
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