The final objective of Netpredict 2 is the implementation of a set of advanced machine learning models that allow the...

Determine predictive variables (quality indicators) of anomalies in network traffic based upon data QoS and communication network assessment experiments, including...

Investigate enabling technologies to localize signal emitters by using low-cost and software-defined radio receives, which synchronize among them to estimate...

As in the web and desktop software, most app developers rely on third-party components —e.g., libraries or software development kits...

The aim of this project is to leverage machine learning techniques to perform accurate user-level traffic prediction to improve theperformance...

The tremendous capacity increases in radio access envisioned for 5G and beyond mobile net- works has increased the requirements for...

The spectrum data usage and the user location knowledge are essential information to build any communication protocol and service. MATISSE...

The project involves optimizing the Wi-Fi coverage in a large closed space to provide high quality wireless access to a...

Following the requirements from Service Provider Network operators and data center network operators, research and development in the field of...

The SPECTRUMCOP I project has the overarching goal of providing the turnkey technologies to bring a concrete application to the Electrosense...