Liam Comerford
Title
Cited by
Cited by
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
372016
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
222018
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
192017
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
192014
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
162017
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
162015
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
52017
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
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
32019
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
22015
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
22015
An open approach to educational resource development, with a specific example from structural engineering
L Comerford, M DeAngelis, A Mannis, M Beer, I Kougioumtzoglou
42nd annual conference of the European Society for Engineering Education†…, 2014
22014
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
12019
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
12018
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
12017
Uncertainty quantification in power spectrum estimation of stochastic processes subject to missing data
L Comerford, IA Kougioumtzoglou, M Beer
Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and†…, 2014
12014
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
2020
Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings
M Behrendt, L Comerford, M Beer
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 784-790, 2019
2019
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
2019
Stochastic Processes Identification from Data Ensembles via Power Spectrum Classification
M Behrendt, L Comerford, M Beer
2019
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