| 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 | 67 | 2016 |
| 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 | 48 | 2015 |
| 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 | 47 | 2017 |
| 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 | 35 | 2018 |
| 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 | 31 | 2017 |
| 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 | 25 | 2014 |
| 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 | 22 | 2017 |
| 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 | 19 | 2019 |
| 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 | 18 | 2019 |
| 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 | 16 | 2015 |
| 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 | 15 | 2019 |
| 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 | 11 | 2020 |
| 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 | 10 | 2022 |
| 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 | 9 | 2022 |
| Interval propagation through the discrete Fourier transform M De Angelis, M Behrendt, L Comerford, Y Zhang, M Beer arXiv preprint arXiv:2012.09778, 2020 | 8 | 2020 |
| 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 | 8 | 2018 |
| 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 | 4 | 2022 |
| 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 | 4 | 2015 |
| 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 | 4 | 2013 |
| 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 | 3 | 2017 |
Michael BeerLeibniz Universität HannoverVerified email at irz.uni-hannover.de
