Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Alan Nesbitt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 12 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods
Mitiche, I., Jenkins, M. D., Boreham, P., Nesbitt, A. & Morison, G., 1 Jun 2021, In: Expert Systems with Applications. 171, 9 p., 14568.Research output: Contribution to journal › Article › peer-review
-
Low complexity classification of power asset faults for real time IoT-based diagnostics
Salimy, A., Mitiche, I., Boreham, P., Nesbitt, A. & Morison, G., 9 Feb 2021, 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2020. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
1D-CNN based real-time fault detection system for power asset diagnostics
Mitiche, I., Nesbitt, A., Conner, S., Boreham, P. & Morison, G., Dec 2020, In: IET Generation, Transmission & Distribution. 14, 24, p. 5766-5773 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A hybrid cloud for data analytics in electrical substation condition monitoring systems
Slater, J., Nesbitt, A., Morison, G. & Boreham, P., 5 Dec 2019, Proceedings: The 22nd IEEE International Conference on Computational Science and Engineering, The 17th IEEE International Conference on Embedded and Ubiquitous Computing. Qiu, M. (ed.). IEEE, p. 283-288 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Deep complex neural network learning for high-voltage insulation fault classification from complex bispectrum representation
Mitiche, I., Jenkins, M. D., Boreham, P., Nesbitt, A. & Morison, G., 18 Nov 2019, 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile