P. Deignan

发表

P. Deignan, P. Meckl, M. Franchek, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Using mutual information to pre-process input data for a virtual sensor

P. Deignan, P. Meckl, M. Franchek, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Confidence measure estimation in dynamical systems model input set selection

G.B. King, P. Deignan, P. Meckl, 2004, Proceedings of the 2004 American Control Conference.

Sensor fusion using entropic measures of dependence

P. Deignan, 2011 .

sensor fusion using entropic measures of dependence fusión sensorial usando medidas entrópicas de dependencia

P. Deignan, 2022 .

Transmission of SARS-CoV-2 arising from international flights arriving in Ireland in December 2020: a descriptive analysis using national surveillance data

P. Deignan, C. Carroll, S. Doyle, 2022, Public Health.

Dynamic surface tension of coal-water slurry fuels

P. Deignan, K. Kihm, 1995 .

Hypercube processing of mixed sensed data entropic associations

Antone Kusmanoff, Paul B. Deignan, P. Deignan, 2011, Defense + Commercial Sensing.

Low-level multi-INT sensor fusion using entropic measures of dependence

Paul B. Deignan, Mark A. Wong, Alexander B. Douglass, 2011, 14th International Conference on Information Fusion.

Information theoretic fault detection

G. King, P. Meckl, A. Joshi, 2005, Proceedings of the 2005, American Control Conference, 2005..

Efficient information-theoretic model input selection

P. Deignan, P. Meckl, M. Franchek, 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

Contemporary concerns in Geographical/Geospatial Information Systems (GIS) processing

Kannappan Palaniappan, Matthew F. Pellechia, Shiloh L. Dockstader, 2011, Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON).

Estimation of entropic measures of association

P. Deignan, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).