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David Mulvey
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 6
Top Topics
Neural Network
Detect Anomalies
Dimensionality Reduction
Unsupervised Learning
Top Venues
ICC
ICTC
CoRR
Sensors
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Publications
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David Mulvey
,
Chuan Heng Foh
,
Muhammad Ali Imran
,
Rahim Tafazolli
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection.
CoRR
(2024)
David Mulvey
,
Chuan Heng Foh
,
Muhammad Ali Imran
,
Rahim Tafazolli
Cellular Network Antenna Tilt Anomaly Detection Using Federated Unsupervised Learning.
ICC
(2023)
Mutasem Q. Hamdan
,
Haeyoung Lee
,
Dionysia Triantafyllopoulou
,
Rúben Borralho
,
Abdulkadir Kose
,
Esmaeil Amiri
,
David Mulvey
,
Wenjuan Yu
,
Rafik Zitouni
,
Riccardo Pozza
,
Bernie Hunt
,
Hamidreza Bagheri
,
Chuan Heng Foh
,
Fabien Héliot
,
Gaojie Chen
,
Pei Xiao
,
Ning Wang
,
Rahim Tafazolli
Recent Advances in Machine Learning for Network Automation in the O-RAN.
Sensors
23 (21) (2023)
David Mulvey
,
Chuan Heng Foh
,
Muhammad Ali Imran
,
Rahim Tafazolli
Improved Neural Network Transparency for Cell Degradation Detection Using Explanatory Model.
ICC
(2020)
David Mulvey
,
Chuan Heng Foh
,
Muhammad Ali Imran
,
Rahim Tafazolli
Cell Fault Management Using Machine Learning Techniques.
IEEE Access
7 (2019)
David Mulvey
,
Chuan Heng Foh
,
Muhammad Ali Imran
,
Rahim Tafazolli
Cell Coverage Degradation Detection Using Deep Learning Techniques.
ICTC
(2018)