Titlebook: Artificial Intelligence Applications and Innovations; AIAI 2018 IFIP WG 12 Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagia Conference pr

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On Edge Cloud Architecture and Joint Physical Virtual Resource Orchestration for SDN/NFVization. The developments have predominantly been made in the core and back-haul network segments. However, the ambitious Key Performance Indicators (KPIs) set for 5G networks will necessitate a renewed focus on the network edge in view of the virtualized infrastructure and SDN/NFV adoption. Several

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e-Health Services in the Context of IoT: The Case of the VICINITY Projectng financial resources, consist one of the biggest challenges not only in Europe but also worldwide, in terms of healthcare organization complexity. At the same time, there exists an ever-growing demand for ubiquitous healthcare systems to improve human health and well-being. IoT paradigm and wearab

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Are 5G Networks and the Neutral Host Model the Solution to the Shrinking Telecom Marketl advances like network virtualization, edge computing and network slicing. The latter will facilitate the entrance of new players in the value chain. Moreover, they will offer a means for network operators to change their business models in order to address revenue losses. The concept of a neutral

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Space/Time Traffic Fluctuations in a Cellular Network: Measurements’ Analysis and Potential Applicat since the knowledge extracted from the traffic fluctuations in a cell and its neighbours can be effectively exploited by different optimisation functions. In this context, this paper takes as an input a set of real traffic measurements in a cellular network deployed in a large city and analyses, on

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Detecting Question Intention Using a K-Nearest Neighbor Based Approachfferent kinds of information, but the abundance of available data has made the process of obtaining relevant information challenging in terms of processing and analyzing it. Many questions classification techniques have been proposed with the aim of helping in understanding the actual intent of the

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Incremental Learning for Large Scale Classification Systems social media and the health care system, which defines a small portion of the sources of the big data. The big data growth poses two main difficulties, storing and processing them. For the former, there are certain new technologies that enable us to store large amounts of data in a fast and reliabl