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02/03/2023
Android OS Privacy Under the Loupe – A Tale from the East
China is currently the country with the largest number of Android smartp...
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03/04/2022
TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks
The Covid-19 pandemic has forced the workforce to switch to working from...
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02/20/2022
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks
Machine Learning (ML) techniques are increasingly adopted to tackle ever...
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05/24/2020
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics
The world is suffering from a pandemic called COVID-19, caused by the SA...
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09/02/2019
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System
The recently released Bluetooth 5.1 specification introduces fine-graine...
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07/29/2019
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
This paper introduces CloudLSTM, a new branch of recurrent neural networ...
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05/23/2019
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories
Network slicing is increasingly used to partition network infrastructure...
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11/22/2018
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs
Recognizing driver behaviors is becoming vital for in-vehicle systems th...
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09/30/2018
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls
Advances in network programmability enable operators to 'slice' the phys...
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03/12/2018
Deep Learning in Mobile and Wireless Networking: A Survey
The rapid uptake of mobile devices and the rising popularity of mobile a...
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02/05/2018
ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum
Future mobile networks will exploit unlicensed spectrum to boost capacit...
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12/21/2017
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
Forecasting with high accuracy the volume of data traffic that mobile us...
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11/07/2017
