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Nesbitt, Alan
163  Ergebnisse:
Personensuche X
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1

Dynamic Noise Reduction with Deep Residual Shrinkage Networ..:

Salimy, Alireza ; Mitiche, Imene ; Boreham, Philip..
Sensors.  22 (2022)  2 - p. 515 , 2022
Link: https://doi.org/10.3390/..
 
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2

Can a deep learning based IoT fault diagnosis system identi..:

, In: 2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS),
Salimy, Alireza ; Mitiche, Imene ; Boreham, Philip.. - p. 19-24 , 2022
Link: https://doi.org/10.1109/..
 
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3

Unsupervised Source Separation for Multi-Label Classificati..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),
Mitiche, Imene ; Salimy, Alireza ; Boreham, Philip... - p. 1686-1690 , 2022
Link: https://doi.org/10.23919..
 
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4

An expert system for EMI data classification based on compl..:

Mitiche, Imene ; Jenkins, Mark D. ; Boreham, Philip..
Expert Systems with Applications.  171 (2021)  - p. 114568 , 2021
Link: https://doi.org/10.1016/..
 
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5

Data-Driven Anomaly Detection in High-Voltage Transformer B..:

Mitiche, Imene ; McGrail, Tony ; Boreham, Philip..
Sensors.  21 (2021)  21 - p. 7426 , 2021
Link: https://doi.org/10.3390/..
 
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6

1D‐CNN based real‐time fault detection system for power ass..:

Mitiche, Imene ; Nesbitt, Alan ; Conner, Stephen..
IET Generation, Transmission & Distribution.  14 (2020)  24 - p. 5766-5773 , 2020
Link: https://doi.org/10.1049/..
 
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7

Low Complexity Classification of Power Asset Faults for Rea..:

, In: 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT),
Salimy, Alireza ; Mitiche, Imene ; Boreham, Philip.. - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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8

Deep Complex Neural Network Learning for High-Voltage Insul..:

, In: 2019 27th European Signal Processing Conference (EUSIPCO),
Mitiche, Imene ; Jenkins, Mark David ; Boreham, Philip.. - p. 1-5 , 2019
Link: https://doi.org/10.23919..
 
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9

A Hybrid Cloud for Data Analytics in Electrical Substation ..:

, In: 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC),
Slater, Jack ; Nesbitt, Alan ; Morison, Gordon. - p. 283-288 , 2019
Link: https://doi.org/10.1109/..
 
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10

Entropy-Based Feature Extraction for Electromagnetic Discha..:

Mitiche, Imene ; Morison, Gordon ; Nesbitt, Alan..
Entropy.  20 (2018)  8 - p. 549 , 2018
Link: https://doi.org/10.3390/..
 
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11

Classification of EMI discharge sources using time–frequenc..:

Mitiche, Imene ; Morison, Gordon ; Nesbitt, Alan...
Electric Power Systems Research.  163 (2018)  - p. 261-269 , 2018
Link: https://doi.org/10.1016/..
 
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12

Imaging Time Series for the Classification of EMI Discharge..:

Mitiche, Imene ; Morison, Gordon ; Nesbitt, Alan...
Sensors.  18 (2018)  9 - p. 3098 , 2018
Link: https://doi.org/10.3390/..
 
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13

Classification of Partial Discharge Signals by Combining Ad..:

Mitiche, Imene ; Morison, Gordon ; Nesbitt, Alan...
Sensors.  18 (2018)  2 - p. 406 , 2018
Link: https://doi.org/10.3390/..
 
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14

Microwave foaming of starch-based materials (I) dielectric ..:

Peng, Xi ; Song, Jim ; Nesbitt, Alan.
Journal of Cellular Plastics.  49 (2013)  3 - p. 245-258 , 2013
Link: https://doi.org/10.1177/..
 
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15

Microwave foaming of starch-based materials (II) thermo-mec..:

Peng, Xi ; Song, Jim ; Nesbitt, Alan.
Journal of Cellular Plastics.  49 (2013)  2 - p. 147-160 , 2013
Link: https://doi.org/10.1177/..
 
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