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Liam Comerford
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Year
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
652016
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
462017
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
442015
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
342018
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
302017
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
252014
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
222017
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
182019
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), 04019086, 2019
172019
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
152015
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
142019
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
92022
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
92020
Interval propagation through the discrete Fourier transform
M De Angelis, M Behrendt, L Comerford, Y Zhang, M Beer
arXiv preprint arXiv:2012.09778, 2020
82020
Projecting interval uncertainty through the discrete Fourier transform: An application to time signals with poor precision
M Behrendt, M de Angelis, L Comerford, Y Zhang, M Beer
Mechanical Systems and Signal Processing 172, 108920, 2022
72022
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
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
42022
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
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
32017
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Articles 1–20