David Mulvey

According to our database, David Mulvey authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection.

David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli

CoRR, 2024

2023

Recent Advances in Machine Learning for Network Automation in the O-RAN.

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

Sensors, October, 2023

Cellular Network Antenna Tilt Anomaly Detection Using Federated Unsupervised Learning.

David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli

Proceedings of the IEEE International Conference on Communications, 2023

2020

Improved Neural Network Transparency for Cell Degradation Detection Using Explanatory Model.

David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Cell Fault Management Using Machine Learning Techniques.

David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli

IEEE Access, 2019

2018

Cell Coverage Degradation Detection Using Deep Learning Techniques.

David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli

Proceedings of the International Conference on Information and Communication Technology Convergence, 2018