Liam A. Comerford - researchr alias

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Viewing Publication 1 - 6 from 6

2019

Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise BuildingsMarco Behrendt, Liam A. Comerford, Michael Beer. ssci 2019: 784-790 [doi]

2017

Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machinesLiam A. Comerford, Michael Beer, Naiwei Lu. ssci 2017: 1-7 [doi]

2015

Artificial neural network approaches and compressive sensing techniques for stochastic process estimation and simulation subject to incomplete dataLiam A. Comerford. PhD thesis, University of Liverpool, UK, 2015. [doi]

Compressive sensing for power spectrum estimation of multi-dimensional processes under missing dataYuanjin Zhang, Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou. iwssip 2015: 162-165 [doi]

2014

Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basisLiam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou. cies 2014: 117-124 [doi]

2013

An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing dataLiam A. Comerford, Ioannis A. Kougioumtzoglou, Michael Beer. cies 2013: 118-124 [doi]

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