Mobile edge computing-based data-driven deep learning framework for anomaly detection

B Hussain, Q Du, S Zhang, A Imran, MA Imran - IEEE Access, 2019 - ieeexplore.ieee.org
5G is anticipated to embed an artificial intelligence (AI)-empowerment to adroitly plan,
optimize and manage the highly complex network by leveraging data generated at different …

Google timeline accuracy assessment and error prediction

A Macarulla Rodriguez, C Tiberius… - Forensic sciences …, 2018 - academic.oup.com
ABSTRACT Google Location Timeline, once activated, allows to track devices and save their
locations. This feature might be useful in the future as available data for evidence in …

Transfer learning-based outdoor position recovery with cellular data

Y Zhang, AY Ding, J Ott, M Yuan, J Zeng… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Telecommunication (Telco) outdoor position recovery aims to localize outdoor mobile
devices by leveraging measurement report (MR) data. Unfortunately, Telco position recovery …

Risky calls: understanding the challenges and risks of using mobile phone data during homicide investigations

H Jones, F Brookman - Policing and Society, 2024 - Taylor & Francis
Despite concerns having been voiced internationally about the validity and reliability of
mobile phone evidence, there remain large gaps in our understanding of how police acquire …

[HTML][HTML] Digital forensic investigation of two-way radio communication equipment and services

A Kouwen, M Scanlon, KKR Choo, NA Le-Khac - Digital Investigation, 2018 - Elsevier
Historically, radio-equipment has solely been used as a two-way analogue communication
device. Today, the use of radio communication equipment is increasing by numerous …

[HTML][HTML] An investigation into the accuracy of follow-on GPRS/mobile data CDRs

I Duncan, J Hoy, A Fahey, R Morgan, S Nakhaeizadeh… - Science & Justice, 2022 - Elsevier
This study investigated the accuracy of 3G and 4G follow-on GPRS (General Packet Radio
Service)/mobile data CDRs (Call Detail Records) from three UK mobile network operators …

Hardware co simulation of LTE physical layer for mobile network applications

V Venkataramanan, S Lakshmi - Future Generation Computer Systems, 2019 - Elsevier
Due to the rapid growth of wireless technology, it has become possible to provide solutions
for fading, interference, and multipath. Long term evolution and Long term evolution …

Map matching with sparse cellular fingerprint observations

A Viel, D Gubiani, P Gallo, A Montanari… - … and Location-Based …, 2018 - ieeexplore.ieee.org
Determining the path followed by a moving device is an important task in a number of fields.
Map matching is the problem of obtaining the most likely trajectory of a device on the road …

A map-matching algorithm dealing with sparse cellular fingerprint observations

A Dalla Torre, P Gallo, D Gubiani… - Geo-spatial …, 2019 - Taylor & Francis
The widespread availability of mobile communication makes mobile devices a resource for
the collection of data about mobile infrastructures and user mobility. In these contexts, the …

Cell site analysis; use and reliability of survey methods

M Tart, I Brodie, N Patrick-Gleed, B Edwards… - Forensic Science …, 2021 - Elsevier
An RF Survey may form part of a wider forensic strategy. The purpose of a survey within this
strategy, and the manner in which survey data may be used to better inform evaluative or …