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Visualizar D52 Proyectos de investigación por título
Mostrando ítems 1-20 de 424
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A 30 GHz planar array antenna using dipole-coupled-lens
(EMW Publishing, 2011) -
A Bayesian method for point source polarisation estimation
(EDP Sciences, 2021) -
A comprehensive view of a strongly lensed planck-associated submillimeter galaxy.
(Institute of Physics Publishing, 2012-07) -
A FIRST-APM-SDSS survey for high-redshift radio QSOs
(Oxford University Press, 2006-09) -
A global climate model performance atlas for the southern hemisphere extratropics based on regional atmospheric circulation patterns
(American Geophysical Union, 2023-05-28) -
A likely Supermassive black hole revealed by its Einstein Radius in Hubble frontier fields images
(Institute of Physics Publishing, 2018) -
A mathematical justification for metronomic chemotherapy in oncology
(EDP Sciences, 2022) -
A morphological study of galaxies in ZwCl0024+1652, a galaxy cluster at redshift z ∼ 0.4
(Oxford University Press, 2019-05) -
A multifrequency method based on the matched multifilter for the detection of point sources in CMB maps
(Oxford University Press, 2010) -
A multiwavelength continuum characterization of high-redshift broad absorption line quasars
(Oxford University Press, 2017-06) -
A new, clean catalogue of extragalactic non-nuclear X-ray sources in nearby galaxies
(Oxford University Press, 2019-03) -
A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions
(American Geophysical Union, 2022-03-21) -
A revision of the X-ray absorption nature of BALQSOs
(EDP Sciences, 2010-06) -
A sparse approach to astronomical point source detection
(Institute of Electrical and Electronics Engineers, Inc., 2010) -
A strongly star-forming group: three massive galaxies associated with a quasi-stellar object
(Royal Astronomical Society, 2011) -
Alignment of the CMS tracker with LHC and cosmic ray data
(Institute of Physics, 2014-06) -
ALMA photometry of extragalactic radio sources
(Oxford University Press, 2019-05) -
An end-to-end computer vision system based on deep learning for pavement distress detection and quantification
(Elsevier Ltd, 2024-02-16)