Institution
University of Coimbra
Education•Coimbra, Portugal•
About: University of Coimbra is a education organization based out in Coimbra, Portugal. It is known for research contribution in the topics: Population & Context (language use). The organization has 14318 authors who have published 43067 publications receiving 994733 citations. The organization is also known as: UC & Universidade dos Estudos Gerais.
Papers published on a yearly basis
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University of Udine1, University of Paris-Sud2, University of Mainz3, Centre national de la recherche scientifique4, University College Dublin5, University of Geneva6, Autonomous University of Barcelona7, Technical University of Denmark8, Goddard Space Flight Center9, Polish Academy of Sciences10, University of Padua11, Clemson University12, University of Urbino13, Yale University14, Max Planck Society15, University of Erlangen-Nuremberg16, Brera Astronomical Observatory17, United States Naval Research Laboratory18, University of Tokyo19, PSL Research University20, University of Trieste21, University of Würzburg22, University of Maryland, College Park23, University of Barcelona24, Scuola Normale Superiore di Pisa25, University of Potsdam26, Rovira i Virgili University27, University of Coimbra28, University College London29, University of California, Berkeley30
TL;DR: The e-ASTROGAM (enhanced ASTROGAM) project as mentioned in this paper is a breakthrough Observatory space mission, with a detector composed by a Silicon tracker, a calorimeter, and an anticoincidence system, dedicated to the study of the non-thermal Universe in the photon energy range from 0.3 MeV to 3 GeV.
Abstract: e-ASTROGAM (‘enhanced ASTROGAM’) is a breakthrough Observatory space mission, with a detector composed by a Silicon tracker, a calorimeter, and an anticoincidence system, dedicated to the study of the non-thermal Universe in the photon energy range from 0.3 MeV to 3 GeV – the lower energy limit can be pushed to energies as low as 150 keV, albeit with rapidly degrading angular resolution, for the tracker, and to 30 keV for calorimetric detection. The mission is based on an advanced space-proven detector technology, with unprecedented sensitivity, angular and energy resolution, combined with polarimetric capability. Thanks to its performance in the MeV-GeV domain, substantially improving its predecessors, e-ASTROGAM will open a new window on the non-thermal Universe, making pioneering observations of the most powerful Galactic and extragalactic sources, elucidating the nature of their relativistic outflows and their effects on the surroundings. With a line sensitivity in the MeV energy range one to two orders of magnitude better than previous generation instruments, e-ASTROGAM will determine the origin of key isotopes fundamental for the understanding of supernova explosion and the chemical evolution of our Galaxy. The mission will provide unique data of significant interest to a broad astronomical community, complementary to powerful observatories such as LIGO-Virgo-GEO600-KAGRA, SKA, ALMA, E-ELT, TMT, LSST, JWST, Athena, CTA, IceCube, KM3NeT, and the promise of eLISA.
190 citations
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TL;DR: An extensive experimental study to evaluate the representativeness of faults injected by a state-of-the-art approach (G-SWFIT) shows that a significant share of injected faults cannot be considered representative of residual software faults as they are consistently detected by regression tests.
Abstract: The injection of software faults in software components to assess the impact of these faults on other components or on the system as a whole, allowing the evaluation of fault tolerance, is relatively new compared to decades of research on hardware fault injection. This paper presents an extensive experimental study (more than 3.8 million individual experiments in three real systems) to evaluate the representativeness of faults injected by a state-of-the-art approach (G-SWFIT). Results show that a significant share (up to 72 percent) of injected faults cannot be considered representative of residual software faults as they are consistently detected by regression tests, and that the representativeness of injected faults is affected by the fault location within the system, resulting in different distributions of representative/nonrepresentative faults across files and functions. Therefore, we propose a new approach to refine the faultload by removing faults that are not representative of residual software faults. This filtering is essential to assure meaningful results and to reduce the cost (in terms of number of faults) of software fault injection campaigns in complex software. The proposed approach is based on classification algorithms, is fully automatic, and can be used for improving fault representativeness of existing software fault injection approaches.
190 citations
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06 Nov 2014TL;DR: A state-of-the-art deformable parts detector is trained using different configurations of optical images and their associated 3D point clouds, in conjunction and independently, leveraging upon the recently released KITTI dataset to propose novel strategies for depth upsampling and contextual fusion that together lead to detection performance which exceeds that of the RGB-only systems.
Abstract: Why is pedestrian detection still very challenging in realistic scenes? How much would a successful solution to monocular depth inference aid pedestrian detection? In order to answer these questions we trained a state-of-theart deformable parts detector using different configurations of optical images and their associated 3D point clouds, in conjunction and independently, leveraging upon the recently released KITTI dataset. We propose novel strategies for depth upsampling and contextual fusion that together lead to detection performance which exceeds that of the RGB-only systems. Our results suggest depth cues as a very promising mid-level target for future pedestrian detection approaches.
190 citations
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University of Fribourg1, CERN2, University of Ljubljana3, Boston University4, University of Liverpool5, University of the Mediterranean6, Delft University of Technology7, Royal Institute of Technology8, Paul Scherrer Institute9, University of Ioannina10, DSM11, Aristotle University of Thessaloniki12, University of Coimbra13, Centre national de la recherche scientifique14
TL;DR: The first observation of time-reversal symmetry violation through a comparison of the probabilities of K 0 transforming into K0 and K 0 into K 0 as a function of the neutral-kaon eigentime t was reported in this article.
190 citations
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TL;DR: In this paper, the authors suggest that airborne transmission is possible and that HVAC systems when not adequately used may contribute to the transmission of the virus, as suggested by descriptions from Japan, Germany, and the Diamond Princess Cruise Ship.
189 citations
Authors
Showing all 14693 results
Name | H-index | Papers | Citations |
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P. Chang | 170 | 2154 | 151783 |
Yang Gao | 168 | 2047 | 146301 |
Bin Liu | 138 | 2181 | 87085 |
P. Sinervo | 138 | 1516 | 99215 |
Filipe Veloso | 128 | 887 | 75496 |
Panagiotis Kokkas | 128 | 1234 | 81051 |
Nuno Filipe Castro | 128 | 960 | 76945 |
Robert Gardner | 128 | 1015 | 77619 |
Francois Corriveau | 128 | 1022 | 75729 |
Peter Krieger | 128 | 1171 | 81368 |
João Carvalho | 126 | 1278 | 77017 |
Helmut Wolters | 126 | 851 | 75721 |
Nicola Venturi | 126 | 796 | 69518 |
Sai-Juan Chen | 121 | 1211 | 73991 |
Harinder Singh Bawa | 120 | 798 | 66120 |