Classification of partial discharge EMI conditions using permutation entropy-based features. - Imene Mitiche; Gordon Morison; Alan Nesbitt; Philip Boreham; Brian G. Stewart (EUSIPCO, 2017)

Deep Residual Neural Network for EMI Event Classification Using Bispectrum Representations. - Imene Mitiche; Mark David Jenkins; Philip Boreham; Alan Nesbitt; Brian G. Stewart; Gordon Morison (EUSIPCO, 2018)

Naive Bayes Multi-Label Classification Approach for High-Voltage Condition Monitoring. - Imene Mitiche; Alan Nesbitt; Philip Boreham; Brian G. Stewart; Gordon Morison (IOTAIS, 2018)

Entropy-Based Feature Extraction for Electromagnetic Discharges Classification in High-Voltage Power Generation. - Imene Mitiche; Gordon Morison; Alan Nesbitt; Brian G. Stewart; Philip Boreham (Entropy, 2018)

Classification of Partial Discharge Signals by Combining Adaptive Local Iterative Filtering and Entropy Features. - Imene Mitiche; Gordon Morison; Alan Nesbitt; Michael Hughes-Narborough; Brian G. Stewart; Philip Boreham (Sensors, 2018)

Imaging Time Series for the Classification of EMI Discharge Sources. - Imene Mitiche; Gordon Morison; Alan Nesbitt; Michael Hughes-Narborough; Brian G. Stewart; Philip Boreham (Sensors, 2018)

A Hybrid Cloud for Data Analytics in Electrical Substation Condition Monitoring Systems. - Jack Slater; Alan Nesbitt; Gordon Morison; Philip Boreham (CSE/EUC, 2019)

Deep Complex Neural Network Learning for High-Voltage Insulation Fault Classification from Complex Bispectrum Representation. - Imene Mitiche; Mark David Jenkins; Philip Boreham; Alan Nesbitt; Gordon Morison (EUSIPCO, 2019)

Low Complexity Classification of Power Asset Faults for Real Time IoT-based Diagnostics. - Alireza Salimy; Imene Mitiche; Philip Boreham; Alan Nesbitt; Gordon Morison (GCAIoT, 2020)

OODCN: Out-Of-Distribution Detection in Capsule Networks for Fault Identification. - Imene Mitiche; Alireza Salimy; Falk Werner; Philip Boreham; Alan Nesbitt; Gordon Morison (EUSIPCO, 2021)

Robust Deep Residual Shrinkage Networks for Online Fault Classification. - Alireza Salimy; Imene Mitiche; Philip Boreham; Alan Nesbitt; Gordon Morison (EUSIPCO, 2021)

An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods. - Imene Mitiche; Mark David Jenkins; Philip Boreham; Alan Nesbitt; Gordon Morison (Expert Syst. Appl., 2021)

Data-Driven Anomaly Detection in High-Voltage Transformer Bushings with LSTM Auto-Encoder. - Imene Mitiche; Tony McGrail; Philip Boreham; Alan Nesbitt; Gordon Morison (Sensors, 2021)

Unsupervised Source Separation for Multi-Label Classification. - Imene Mitiche; Alireza Salimy; Philip Boreham; Tony McGrail; Alan Nesbitt; Gordon Morison (EUSIPCO, 2022)

Can a deep learning based IoT fault diagnosis system identify more than one fault at a time? - Alireza Salimy; Imene Mitiche; Philip Boreham; Alan Nesbitt; Gordon Morison (IoTaIS, 2022)

Dynamic Noise Reduction with Deep Residual Shrinkage Networks for Online Fault Classification. - Alireza Salimy; Imene Mitiche; Philip Boreham; Alan Nesbitt; Gordon Morison (Sensors, 2022)