David Lowe
Affiliations:- Aston University, Department of Mathematics, Birmingham, UK
According to our database1,
David Lowe
authored at least 20 papers
between 1998 and 2022.
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Bibliography
2022
2020
2018
ECG-Derived Respiration Using a Real-Time QRS Detector Based on Empirical Mode Decomposition.
Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018
2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2010
Watermark-Only Security Attack on DM-QIM Watermarking: Vulnerability to Guided Key Guessing.
Int. J. Digit. Crime Forensics, 2010
2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
Exploiting sensitivity of nonorthogonal joint diagonalisation as a security mechanism in steganography.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
2008
Stochastic Control Strategies and Adaptive Critic Methods.
Proceedings of the ICINCO 2008, 2008
2007
IEEE Trans. Neural Networks, 2007
2006
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model.
Neurocomputing, 2006
Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model.
Int. J. Model. Identif. Control., 2006
2004
A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems.
Eng. Appl. Artif. Intell., 2004
2003
Robust control of nonlinear stochastic systems by modelling conditional distributions of control signals.
Neural Comput. Appl., 2003
Proceedings of 2003 IEEE Conference on Control Applications, 2003
2002
A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems.
Proceedings of the Artificial Neural Networks, 2002
1999
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999
1998
Characterising complexity by the degrees of freedom in a radial basis function network.
Neurocomputing, 1998