Archivos: Events

Seminario destacado. The Quantum Internet: Recent Advances and Challenges

Quantum information processing is at the cusp of having significant impact on technology and society in the form of providing...

Seguir leyendo arrow_right_alt

Defensa Tesis Doctoral: Machine Learning Algorithms for Provisioning Cloud/Edge Applications

Reinforcement Learning (RL), in which an agent is trained to make the most favourable decisions in the long run, is...

Seguir leyendo arrow_right_alt

Novel machine learning techniques to improve the forecasting of stroke postinterventive outcomes

Strokes are acute medical conditions in which poor blood flow to a part of the brain results in neuronal death....

Seguir leyendo arrow_right_alt

A Framework for Spectrum Data Classification using Crowdsensing Platform

The advent of spectrum crowdsensing systems is challenging the way the spectrum is monitored, thanks to the large deployment of...

Seguir leyendo arrow_right_alt

Researchers at Schools: Riesgos para la privacidad en aplicaciones Android

Hoy en día, la mayoría de la ciudadanía utiliza el teléfono móvil de forma diaria, para muchas actividades diferentes (como...

Seguir leyendo arrow_right_alt

Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in France

We study the interaction between the consumption of digital services via mobile devices and urbanization levels, using measurement data collected...

Seguir leyendo arrow_right_alt

Seminario destacado: From Co-Existence to Resilience through Cross-Technology Communication

Co-existence of radio communication technologies has always been one of the key challenges in wireless communications. This particularly holds for...

Seguir leyendo arrow_right_alt

Seminario destacado: Correctness Conditions for Cross-Chain Deals

Modern distributed data management systems face a new challenge: how can autonomous, mutually-distrusting parties cooperate safely and effectively? Addressing this...

Seguir leyendo arrow_right_alt

LossLeaP: Learning to Predict for Intent-Based Networking

Intent-Based Networking mandates that high-level human-understandable intents are automatically interpreted and implemented by network management entities. As a key part...

Seguir leyendo arrow_right_alt

FreqyWM: Frequency WaterMarking for the New Data Economy

We present a novel data engineering technique for modulating the appearance frequency of a few tokens within a dataset for...

Seguir leyendo arrow_right_alt

Archivos

Categorías