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David Flynn
David Flynn
Professor , University of Glasgow
Подтвержден адрес электронной почты в домене Glasgow.ac.uk - Главная страница
Название
Процитировано
Процитировано
Год
Blockchain technology in the energy sector: A systematic review of challenges and opportunities
M Andoni, V Robu, D Flynn, S Abram, D Geach, D Jenkins, P McCallum, ...
Renewable and sustainable energy reviews 100, 143-174, 2019
27402019
Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things
M Pecht, M Kang
Wiley-IEEE 1, 800, 2018
1108*2018
Machine learning methods for wind turbine condition monitoring: A review
A Stetco, F Dinmohammadi, X Zhao, V Robu, D Flynn, M Barnes, J Keane, ...
Renewable energy 133, 620-635, 2019
8362019
Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
I Antonopoulos, V Robu, B Couraud, D Kirli, S Norbu, A Kiprakis, D Flynn, ...
Renewable and Sustainable Energy Reviews 130, 109899, 2020
5732020
Machine learning pipeline for battery state-of-health estimation
D Roman, S Saxena, V Robu, M Pecht, D Flynn
Nature Machine Intelligence 3 (5), 447-456, 2021
4262021
Smart contracts in energy systems: A systematic review of fundamental approaches and implementations
D Kirli, B Couraud, V Robu, M Salgado-Bravo, S Norbu, M Andoni, ...
Renewable and Sustainable Energy Reviews 158, 112013, 2022
2142022
Vpr-bench: An open-source visual place recognition evaluation framework with quantifiable viewpoint and appearance change
M Zaffar, S Garg, M Milford, J Kooij, D Flynn, K McDonald-Maier, S Ehsan
International Journal of Computer Vision 129 (7), 2136-2174, 2021
1612021
Unmanned aerial drones for inspection of offshore wind turbines: A mission-critical failure analysis
M Shafiee, Z Zhou, L Mei, F Dinmohammadi, J Karama, D Flynn
Robotics 10 (1), 26, 2021
1322021
Baylime: Bayesian local interpretable model-agnostic explanations
X Zhao, W Huang, X Huang, V Robu, D Flynn
Uncertainty in artificial intelligence, 887-896, 2021
1142021
An exploration of organizational readiness factors for Quality 4.0: an intercontinental study and future research directions
J Antony, M Sony, O McDermott, R Jayaraman, D Flynn
International Journal of Quality & Reliability Management 40 (2), 582-606, 2023
972023
A physics-based electrochemical model for lithium-ion battery state-of-charge estimation solved by an optimised projection-based method and moving-window filtering
W He, M Pecht, D Flynn, F Dinmohammadi
Energies 11 (8), 2120, 2018
952018
A review of sensing technologies for non-destructive evaluation of structural composite materials
R Gupta, D Mitchell, J Blanche, S Harper, W Tang, K Pancholi, L Baines, ...
Journal of Composites Science 5 (12), 319, 2021
922021
Automated negotiation for peer-to-peer electricity trading in local energy markets
C Etukudor, B Couraud, V Robu, WG Früh, D Flynn, C Okereke
Energies 13 (4), 920, 2020
862020
Modelling the redistribution of benefits from joint investments in community energy projects
S Norbu, B Couraud, V Robu, M Andoni, D Flynn
Applied Energy 287, 116575, 2021
772021
A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector
D Mitchell, J Blanche, S Harper, T Lim, R Gupta, O Zaki, W Tang, V Robu, ...
Energy and AI 8, 100146, 2022
712022
Assessing the safety and reliability of autonomous vehicles from road testing
X Zhao, V Robu, D Flynn, K Salako, L Strigini
2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019
702019
Predicting damage and life expectancy of subsea power cables in offshore renewable energy applications
F Dinmohammadi, D Flynn, C Bailey, M Pecht, C Yin, P Rajaguru, V Robu
IEEE access 7, 54658-54669, 2019
662019
Game-theoretic modeling of curtailment rules and network investments with distributed generation
M Andoni, V Robu, WG Früh, D Flynn
Applied energy 201, 174-187, 2017
612017
Symbiotic system of systems design for safe and resilient autonomous robotics in offshore wind farms
D Mitchell, J Blanche, O Zaki, J Roe, L Kong, S Harper, V Robu, T Lim, ...
IEEE Access 9, 141421-141452, 2021
572021
A safety framework for critical systems utilising deep neural networks
X Zhao, A Banks, J Sharp, V Robu, D Flynn, M Fisher, X Huang
Computer Safety, Reliability, and Security: 39th International Conference …, 2020
552020
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