Alan Nesbitt - RankMe

17 papers A* 1Journal 6Unranked 10

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Can a deep learning based IoT fault diagnosis system identify more than one fault at a time? IoTaIS Alireza Salimy, Imene Mitiche, Philip Boreham, Alan Nesbitt, Gordon Morison
2022	J	`jnl`	Dynamic Noise Reduction with Deep Residual Shrinkage Networks for Online Fault Classification. Sensors Alireza Salimy, Imene Mitiche, Philip Boreham, Alan Nesbitt, Gordon Morison
2022	—	`conf`	Unsupervised Source Separation for Multi-Label Classification. EUSIPCO Imene Mitiche, Alireza Salimy, Philip Boreham, Tony McGrail, Alan Nesbitt, Gordon Morison
2021	J	`jnl`	An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods. Expert Syst. Appl. Imene Mitiche, Mark David Jenkins, Philip Boreham, Alan Nesbitt, Gordon Morison
2021	J	`jnl`	Data-Driven Anomaly Detection in High-Voltage Transformer Bushings with LSTM Auto-Encoder. Sensors Imene Mitiche, Tony McGrail, Philip Boreham, Alan Nesbitt, Gordon Morison
2021	—	`conf`	OODCN: Out-Of-Distribution Detection in Capsule Networks for Fault Identification. EUSIPCO Imene Mitiche, Alireza Salimy, Falk Werner, Philip Boreham, Alan Nesbitt, Gordon Morison
2021	—	`conf`	Robust Deep Residual Shrinkage Networks for Online Fault Classification. EUSIPCO Alireza Salimy, Imene Mitiche, Philip Boreham, Alan Nesbitt, Gordon Morison
2020	—	`conf`	Low Complexity Classification of Power Asset Faults for Real Time IoT-based Diagnostics. GCAIoT Alireza Salimy, Imene Mitiche, Philip Boreham, Alan Nesbitt, Gordon Morison
2019	—	`conf`	A Hybrid Cloud for Data Analytics in Electrical Substation Condition Monitoring Systems. CSE/EUC Jack Slater, Alan Nesbitt, Gordon Morison, Philip Boreham
2019	—	`conf`	Deep Complex Neural Network Learning for High-Voltage Insulation Fault Classification from Complex Bispectrum Representation. EUSIPCO Imene Mitiche, Mark David Jenkins, Philip Boreham, Alan Nesbitt, Gordon Morison
2018	J	`jnl`	Classification of Partial Discharge Signals by Combining Adaptive Local Iterative Filtering and Entropy Features. Sensors Imene Mitiche, Gordon Morison, Alan Nesbitt, Michael Hughes-Narborough, Brian G. Stewart, Philip Boreham
2018	—	`conf`	Deep Residual Neural Network for EMI Event Classification Using Bispectrum Representations. EUSIPCO Imene Mitiche, Mark David Jenkins, Philip Boreham, Alan Nesbitt, Brian G. Stewart, Gordon Morison
2018	J	`jnl`	Entropy-Based Feature Extraction for Electromagnetic Discharges Classification in High-Voltage Power Generation. Entropy Imene Mitiche, Gordon Morison, Alan Nesbitt, Brian G. Stewart, Philip Boreham
2018	J	`jnl`	Imaging Time Series for the Classification of EMI Discharge Sources. Sensors Imene Mitiche, Gordon Morison, Alan Nesbitt, Michael Hughes-Narborough, Brian G. Stewart, Philip Boreham
2018	—	`conf`	Naive Bayes Multi-Label Classification Approach for High-Voltage Condition Monitoring. IOTAIS Imene Mitiche, Alan Nesbitt, Philip Boreham, Brian G. Stewart, Gordon Morison
2017	—	`conf`	Classification of partial discharge EMI conditions using permutation entropy-based features. EUSIPCO Imene Mitiche, Gordon Morison, Alan Nesbitt, Philip Boreham, Brian G. Stewart
1999	A*	`conf`	Preservation of local sound periodicity with variable-rate video. ACM Multimedia (1) Donald Knox, Take Itagaki, I. Stewart, Alan Nesbitt, I. J. Kemp