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

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Fallstudie zur Impulse-Kommission, 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 host supported by the H2020 5GCity project seems to be a strong candidate for future business models helping network operators thrive in the new telecom era.

陳腐的人

定點(diǎn)

Semantic Models for Labeling Spectrum Datac safety domain knowledge and events involving public safety. The information models developed can be used to create labels for the complex spectrum data and facilitate the analysis of the data needed for spectrum sharing.

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e-Health Services in the Context of IoT: The Case of the VICINITY Projectle IoT devices for home-based or mobile monitoring of vital patients’ data can be a secure, reliable and cost-savvy solution to this problem. This paper analyzes the impact of Internet of Things on the design of new eHealth services and solutions in the Context of VICINITY EU-funded project.

百科全書

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How Much Different Are Two Words with?Different Shortest Periods We say that a period . of a word . is . if . does not have any smaller period . which divides .. For integers .,?. (.) we define . as the set of words of length . with primitive period .. We show several results related to the following functions introduced in this paper for . and ..

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Intellectual

on by considering the traffic of one cell in relation to that of its neighbours. This allows identifying traffic complementarities between neighbour cells at different time scales that can be exploited by certain optimisation functions, as illustrated in the paper with specific examples.

反復(fù)拉緊

uestion intention. In addition, a k-nearest neighbor based approach has been developed for question classification. Experiments show that our approach has a good level of accuracy in identifying different question types.

evasive

ements. The proposed high level and scalable approach facilitates the discovery of latent and arbitrarily long and complex argumentation in argument graphs, as well as its meaningful exploitation towards gaining insights.