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We study the problem of continuous monitoring of top-k queries over multiple non-synchronized streams. Assuming a sliding window model, this general problem has been a well addressed research topic in recent years. However, most approaches assume the strea ...
The objective of the thesis is to deepen the understanding of the interplay between ICT-enabled innovation and governance by providing evidence of the changes they are producing on governance processes and policy making mechanisms. Moreover, the thesis aim ...
The effort to apply synchrotron spectromicroscopy techniques to life science problems is definitely beyond the feasibility-test stage. Furthermore, the commissioning of ultrabright, third-generation soft-X-ray sources such as Elettra in Trieste or the adva ...
We present an overview of results developed mainly at Verimag, by the author and his colleagues, on a framework for component-based construction, characterized by the following: the behavior of atomic components is represented by transition systems; compon ...
A spectral collocation multi-domain scheme is developed for the accurate and efficient time-domain solution of Maxwell's equations within multi-layered diffractive optical elements. Special attention is being paid to the modeling of out-of-plane waveguide ...
Environmental problems caused by human activities are increasing; biodiversity is disappearing at an unprecedented rate, soils are being irreversibly damaged, freshwater is increasingly in short supply, and the climate is changing. To reverse or even to re ...
The present article deals with conceptual and methodological questions at the base of a research project of settlement history of Albania in the 20th century. We focus our interest on the identification of all local units and their population. In order to ...
This paper discusses the advantages of using a coding interface both to describe form and run performance simulations in the context of architectural design. It outlines the relevance of combining recent interest in the design community for parametric scri ...
Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms with tools from neural networks to efficiently solve a range of tasks in machine learning, signal and image processing, and communication systems. This survey sum ...
