|
|
|
|
|
Pedro Nogueira, Marcelo Silva, Paulo Infante, Vitor Nogueira, Paulo Manuel, Anabela Afonso, Gonçalo Jacinto, Leonor Rego, Paulo Quaresma, José Saias, Daniel Santos and Patricia Gois
Road traffic accidents are a major concern for modern society with a high toll on human life and involve hard to account economic consequences. New knowledge can be obtained from combining GIS tools with machine learning and artificial intelligence, deve...
ver más
|
|
|
|
|
|
|
|
|
Artyom V. Gorchakov, Liliya A. Demidova and Peter N. Sovietov
In this paper we consider the research and development of classifiers that are trained to predict the task solved by source code. Possible applications of such task detection algorithms include method name prediction, hardware?software partitioning, prog...
ver más
|
|
|
|
|
|
|
|
|
Michael Xevgenis, Dimitrios G. Kogias, Panagiotis A. Karkazis and Helen C. Leligou
Undoubtedly, we are witnessing a new era of computer networks that aspire to support modern demanding applications by providing the highest Quality of Experience (QoE) to the end user. Next Generations Networks (NGNs) ensure that characteristics such as ...
ver más
|
|
|
|
|
|
|
|
|
Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of spatial and spatiotemporal big data is increasing rapidly. Spatially and temporally high resolved data are especially gathered via the Internet of Things. This data can often be accessed as data streams that push new data tuples conti...
ver más
|
|
|
|
|
|
|
|
|
Eugenio Cesario, Paolo Lindia and Andrea Vinci
Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such an amount of information is analyzed to discover data-driven models, which can be expl...
ver más
|
|
|
|