Compressed sensing (CS) is an emerging signal processing technique that enables sub-
Nyquist measurement of signals having sparse representations in certain bases. Since most …

Additive manufacturing represents a powerful tool for the direct fabrication of lightweight and
porous structures with tuneable properties. In this study, a fused deposition modelling/3D …

Recently, a variety of craniofacial approaches has been adopted to enter the skull base,
among those, the endonasal endoscopic technique. An effective watertight thereafter: the …

It has been widely reported that breast reconstruction improves the quality of life of women
who undergo mastectomy for breast cancer. This approach provides many psychological …

Localization in indoor environments is a hard task because of several constraints, both in
terms of multiple reflections due to wall and people moving around the localization domain …

The paper deals with the distributed monitoring of harmonic and interharmonic pollution in
electrical power delivery systems. In order to measure the disturbances and to identify the …

This work is aimed at presenting an application of Artificial Intelligence techniques in the
Precise Livestock Farming domain. In particular, we focused on the possibility of identifying …

In this paper, a logic selectivity system based on Long Range (LoRa) technology for the
protection of medium-voltage (MV) networks is proposed. The development of relays that …

The paper deals with the problem of designing and implementing a measurement node
based on compressive sampling (CS). The considered node is tailored for wide area …

The need for the use of sensor networks in ever more efficient manner drives research
methods for better information management. It would be useful to decrease the amount of …