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Liam Comerford
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Compressive sensing based stochastic process power spectrum estimation subject to missing data
L Comerford, IA Kougioumtzoglou, M Beer
Probabilistic Engineering Mechanics 44, 66-76, 2016
562016
Compressive sensing with an adaptive wavelet basis for structural system response and reliability analysis under missing data
L Comerford, HA Jensen, F Mayorga, M Beer, IA Kougioumtzoglou
Computers & Structures 182, 26-40, 2017
352017
An artificial neural network approach for stochastic process power spectrum estimation subject to missing data
L Comerford, IA Kougioumtzoglou, M Beer
Structural Safety 52, 150-160, 2015
332015
Lp-norm minimization for stochastic process power spectrum estimation subject to incomplete data
Y Zhang, L Comerford, IA Kougioumtzoglou, M Beer
Mechanical Systems and Signal Processing 101, 361-376, 2018
322018
Incomplete data based parameter identification of nonlinear and time-variant oscillators with fractional derivative elements
IA Kougioumtzoglou, KRM Dos Santos, L Comerford
Mechanical Systems and Signal Processing 94, 279-296, 2017
262017
Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis
LA Comerford, M Beer, IA Kougioumtzoglou
2014 IEEE Symposium on Computational Intelligence for Engineering Solutions†…, 2014
232014
Uncertainty quantification of power spectrum and spectral moments estimates subject to missing data
Y Zhang, L Comerford, IA Kougioumtzoglou, E Patelli, M Beer
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A†…, 2017
132017
Modelling impacts of tidal stream turbines on surface waves
X Li, M Li, LB Jordan, S McLelland, DR Parsons, LO Amoudry, Q Song, ...
Renewable energy 130, 725-734, 2019
122019
Wind speed field simulation via stochastic harmonic function representation based on wavenumber-frequency spectrum
Y Song, J Chen, M Beer, L Comerford
Journal of Engineering Mechanics 145 (11), 2019
112019
Stochastic harmonic function based wind field simulation and wind-induced reliability of super high-rise buildings
J Chen, Y Chen, Y Peng, S Zhu, M Beer, L Comerford
Mechanical Systems and Signal Processing 133, 106264, 2019
92019
On quantifying the uncertainty of stochastic process power spectrum estimates subject to missing data
L Comerford, IA Kougioumtzoglou, M Beer
International Journal of Sustainable Materials and Structural Systems 2 (1-2†…, 2015
92015
Relaxed power spectrum estimation from multiple data records utilising subjective probabilities
M Behrendt, M Bittner, L Comerford, M Beer, J Chen
Mechanical Systems and Signal Processing 165, 108346, 2022
62022
Interval propagation through the discrete Fourier transform
M De Angelis, M Behrendt, L Comerford, Y Zhang, M Beer
arXiv preprint arXiv:2012.09778, 2020
62020
Utilising database-driven interactive software to enhance independent home-study in a flipped classroom setting: going beyond visualising engineering concepts to ensuring†…
L Comerford, A Mannis, M DeAngelis, IA Kougioumtzoglou, M Beer
European Journal of Engineering Education 43 (4), 522-537, 2018
62018
An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data
LA Comerford, IA Kougioumtzoglou, M Beer
2013 IEEE Symposium on Computational Intelligence for Engineering Solutions†…, 2013
52013
Reduction of random variables in the Stochastic Harmonic Function representation via spectrum-relative dependent random frequencies
J Chen, L Comerford, Y Peng, M Beer, J Li
Mechanical Systems and Signal Processing 141, 106718, 2020
42020
Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data
Y Zhang, L Comerford, M Beer, I Kougioumtzoglou
2015 International Conference on Systems, Signals and Image Processing†…, 2015
42015
Data-driven reliability assessment of dynamic structures based on power spectrum classification
M Behrendt, M Kitahara, T Kitahara, L Comerford, M Beer
Engineering Structures 268, 114648, 2022
22022
Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines
L Comerford, M Beer, N Lu
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
22017
An open approach to educational resource development, with a specific example from structural engineering
L Comerford, M DeAngelis, A Mannis, M Beer, I Kougioumtzoglou
SEFI Annual Conference, Birmingham, UK, 2014
22014
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