Raul Vicen-Bueno
Affiliations:- University of Alcala, Madrid, Spain
According to our database1,
Raul Vicen-Bueno
authored at least 32 papers
between 2003 and 2020.
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Bibliography
2020
Sensors to Increase the Security of Underwater Communication Cables: A Review of Underwater Monitoring Sensors.
Sensors, 2020
2018
A decision support web service for allocating assets in counter-piracy operations given periodic environmental forecast updates.
Int. J. Intell. Def. Support Syst., 2018
2015
Comparison of Algorithms for Wind Parameters Extraction From Shipborne X-Band Marine Radar Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
2012
Estimate of significant wave height from non-coherent marine radar images by multilayer perceptrons.
EURASIP J. Adv. Signal Process., 2012
2011
Detection of Ships in Marine Environments by Square Integration Mode and Multilayer Perceptrons.
IEEE Trans. Instrum. Meas., 2011
IEEE Trans. Instrum. Meas., 2011
2010
Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks.
IEEE Trans. Instrum. Meas., 2010
Importance Sampling for Objective Function Estimations in Neural Detector Training Driven by Genetic Algorithms.
Neural Process. Lett., 2010
Artificial Neural Network-Based Clutter Reduction Systems for Ship Size Estimation in Maritime Radars.
EURASIP J. Adv. Signal Process., 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Modified LMS-Based Feedback-Reduction Subsystems in Digital Hearing Aids Based on WOLA Filter Bank.
IEEE Trans. Instrum. Meas., 2009
Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar System.
Sensors, 2009
Analysis of the Effects of Finite Precision in Neural Network-Based Sound Classifiers for Digital Hearing Aids.
EURASIP J. Adv. Signal Process., 2009
Influence of Acoustic Feedback on the Learning Strategies of Neural Network-Based Sound Classifiers in Digital Hearing Aids.
EURASIP J. Adv. Signal Process., 2009
2008
Maximum Position Alignment Method for Noisy High-Resolution Radar Target Classification.
IEEE Signal Process. Lett., 2008
Proceedings of the Computer Vision and Graphics, International Conference, 2008
MLP-Based Detection of Targets in Clutter: Robustness with Respect to the Shape Parameter of Weibull-Disitributed Clutter.
Proceedings of the Artificial Neural Networks, 2008
Sensitivity to noise and performance of HRR-based ATR using the Maximum Position alignment method.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size.
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
Performance Analysis of MLP-Based Radar Detectors in Weibull-Distributed Clutter with Respect to Target Doppler Frequency.
Proceedings of the Artificial Neural Networks, 2007
Robustness with respect to the signal-to-noise ratio of MLP-based detectors in Weibull clutter.
Proceedings of the 15th European Signal Processing Conference, 2007
Proceedings of the 15th European Signal Processing Conference, 2007
2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the 14th European Signal Processing Conference, 2006
2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003