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Disambiguation of "de la Mata-Moya, David"

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Distributed Physical Sensors Network for the Protection of Critical Infrastractures Against Physical Attacks.

, , , , , , , , , , , , , , and . DCNET, page 139-150. SciTePress, (2016)

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David Gutiérrez de Arcos University of Stuttgart

Dr. Marie Davidova University of Stuttgart

David Nigl University of Stuttgart

Investigations On The Load-bearing Behaviour Of Continuous Functionally Graded Concrete Beams, , and . Proceedings of the International fib Symposium on the Conceptual Design of Concrete Structures, page 15-24. Oslo, Novus Press, (2023)

Jörg Desel

Das ist Informatik (Eds.) Springer, (2001)

Univ. -Prof. Dr. Gerd de Bruyn University of Stuttgart

 

Other publications of authors with the same name

Montessori Method Adaptation for Teaching of Subjects of Graduate and Post-graduate Programmes., , , and . CSEDU (1), page 407-410. INSTICC Press, (2010)A neural network approach to improve radar detector robustness., , , , and . EUSIPCO, page 1-5. IEEE, (2006)Combining MLPs and RBFNNs to Detect Signals With Unknown Parameters., , , , and . IEEE Trans. Instrumentation and Measurement, 58 (9): 2989-2995 (2009)SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference., , , , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, page 584-591. Springer, (2013)MLP-CFAR for improving coherent radar detectors robustness in variable scenarios., , , , and . Expert Syst. Appl., 42 (11): 4878-4891 (2015)MLP-based approximation to the Neyman Pearson detector in a terrestrial passive bistatic radar scenario., , , , and . EUROCON, page 1-6. IEEE, (2015)Passive radars as low environmental impact solutions for smart cities traffic monitoring., , , , and . EUROCON, page 1-6. IEEE, (2015)Spatial-Range Mean-Shift Filtering and Segmentation Applied to SAR Images., , , , and . IEEE Trans. Instrumentation and Measurement, 60 (2): 584-597 (2011)Feasibility Study of EO SARs as Opportunity Illuminators in Passive Radars: PAZ-Based Case Study., , , , and . Sensors, 15 (11): 29079-29106 (2015)Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error., , , and . EURASIP J. Adv. Sig. Proc., (2013)