Archives: Events

Reversing the Virtual Maze: An Overview of the Technical and Methodological Challenges for Metaverse App Analysis

The Metaverse is a virtual world that is becoming increasingly popular. Recent technological advances, such as head-mounted displays and novel...

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Location Data: Friend or Foe? An Investigation into the Reliability of Location Signals in Mobile Advertising

This paper investigates the accuracy and integrity of location data within the realm of Location-Based Mobile Marketing (LBMM). By analyzing...

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Metric meta-learning optimization towards Intent-Based Networking implementation

Zero-touch network management is essential for beyond 5G and 6G systems, requiring full automation through a closed loop of data...

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DEEXP: Revealing Model Vulnerabilities for Spatio-Temporal Mobile Traffic Forecasting with Explainable AI

The ability to perform mobile traffic forecasting effectively with Deep Neural Networks (DNN) is instrumental to optimise resource management in...

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PhD Thesis defense: On Green Edge Computing with Machine Learning Applications

This thesis finds efficient solutions to dynamically support verticals at the edge while at the same time keeping an eye...

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PhD Thesis defense: Towards practical LiFi networks with hybrid radio-frequency and optical wireless communication technologies

This thesis focuses on identifying, investigating, and addressing three main limitations of LiFi systems in a typical indoor scenario. First,...

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PhD Thesis defense: Securing the Electromagnetic Spectrum: Large-Scale Detection, Analysis, and Management of Wireless Threats

This thesis investigates the roles of Software Defined-Radio and 5G technologies in shaping the future of wireless networks, with a...

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Advancing mmWave Communications for Mobile Devices

MmWave communication has garnered attention over the last decade due to its potential to provide large bandwidth capable of meeting...

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The Dawn of AI-Native Networks and Transforming Connectivity with AI-as-a-Service

With the journey towards 6G, we envision the network evolving into an AI-native platform that not only utilizes AI internally...

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Towards Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids

Machine Learning (ML) models are widely used for cyberattack detection in Smart Grids (SG) based on Software-Defined Networks (SDN). However,...

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