Zobrazeno 1 - 10
of 870
pro vyhledávání: '"Ferreira, JF"'
Publikováno v:
Innovation in Forestry Robotics: Research and Industry Adoption Workshop-IEEE Conference on Robotics and Automation (ICRA 2022)
In this article, we present an analysis of model compression in depth completion neural networks for forestry robotics, considering the increasing demands of real time autonomous solutions. Specifically, we implement a single state simulated annealin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::3a726681dc32049575d049d1f2dcfc08
https://irep.ntu.ac.uk/id/eprint/46419/1/1551539_Ferreira.pdf
https://irep.ntu.ac.uk/id/eprint/46419/1/1551539_Ferreira.pdf
Publikováno v:
Innovation in Forestry Robotics: Research and Industry Adoption Workshop-IEEE Conference on Robotics and Automation (ICRA 2022)
In this paper, we introduce a GAN-based solution for generating synthetic multispectral images from fully-annotated RGB images for data augmentation purposes in forestry robotics applications at ground-level. Fully-annotated multispectral datasets ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::2bf126114d8c6e16aa4440d2b0dcbbbc
https://irep.ntu.ac.uk/id/eprint/46416/1/1551501_Ferreira.pdf
https://irep.ntu.ac.uk/id/eprint/46416/1/1551501_Ferreira.pdf
Introduction:Over the last years, the number of systematic reviews published is steadily increasing due to the global interest in this type of evidence synthesis. However, little is known about the characteristics of this research published in Portug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4836b8fb0670ce05090bb5bac70fa474
https://doi.org/10.21203/rs.3.rs-354547/v1
https://doi.org/10.21203/rs.3.rs-354547/v1
Artificial Intelligence (AI) is widely used to accelerate state-of-the-art vision algorithms used in different domains including navigational algorithms, image segmentation, object classification, etc. Vision systems generate substantial amounts of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::5a315606311aea1cbe3963a529374bdd
https://irep.ntu.ac.uk/id/eprint/40168/1/1337006_Machado.pdf
https://irep.ntu.ac.uk/id/eprint/40168/1/1337006_Machado.pdf
Publikováno v:
2nd UK-RAS Robotics and Autonomous Systems Conference
This paper presents MoDSeM, a novel software framework for spatial perception supporting teams of robots. MoDSeM aims to provide a semantic mapping approach able to represent all spatial information perceived in autonomous missions involving teams of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::971efbceb0827d5d7dfd2f185c9525b7
https://irep.ntu.ac.uk/id/eprint/37010/1/14177_Ferreira.pdf
https://irep.ntu.ac.uk/id/eprint/37010/1/14177_Ferreira.pdf
Autor:
Silvestri, Fausto)[ 1,2,3 ], Vitiello, V [ 2,3 ], Del Prete, F [ 2,3 ], Fabbrocini, A [ 4 ], Ferreira, JF [ 5 ], Sansone, G [ 2,3 ]
Publikováno v:
Aquaculture research
47 (2016): 624–631.
info:cnr-pdr/source/autori:Silvestri, Fausto)[ 1,2,3 ] ; Vitiello, V [ 2,3 ] ; Del Prete, F [ 2,3 ] ; Fabbrocini, A [ 4 ] ; Ferreira, JF [ 5 ] ; Sansone, G [ 2,3 ]/titolo:Sperm motility and fertilization performance of Nodipecten nodosus (L., 1758) exposed at two different cryoprotectants/doi:/rivista:Aquaculture research (Print)/anno:2016/pagina_da:624/pagina_a:631/intervallo_pagine:624–631/volume:47
47 (2016): 624–631.
info:cnr-pdr/source/autori:Silvestri, Fausto)[ 1,2,3 ] ; Vitiello, V [ 2,3 ] ; Del Prete, F [ 2,3 ] ; Fabbrocini, A [ 4 ] ; Ferreira, JF [ 5 ] ; Sansone, G [ 2,3 ]/titolo:Sperm motility and fertilization performance of Nodipecten nodosus (L., 1758) exposed at two different cryoprotectants/doi:/rivista:Aquaculture research (Print)/anno:2016/pagina_da:624/pagina_a:631/intervallo_pagine:624–631/volume:47
Cryopreservation is a valuable tool for aquaculture as it provides continuous seed production, regardless of the spawning season of the brood stock. The selection of a suitable cryoprotectant with low toxicity and high water solubility is important t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::2fe900b7e71d550a3587f9acd9a510b2
http://www.cnr.it/prodotto/i/386096
http://www.cnr.it/prodotto/i/386096
Publikováno v:
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015): Workshop on Unconventional Computing for Bayesian Inference
In this paper, we present a brief review of research work attempting to tackle the issue of tractability in Bayesian inference, including an analysis of the applicability and trade-offs of each proposed solution. In recent years, the Bayesian approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::77fe7530511e102a7374133f8f63c24e
https://irep.ntu.ac.uk/id/eprint/33187/1/10578_Ferreira.pdf
https://irep.ntu.ac.uk/id/eprint/33187/1/10578_Ferreira.pdf
Publikováno v:
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany, 28 September-2 October 2015
In this text, we present the principles that allow the tractable implementation of exact inference processes concerning a group of widespread classes of Bayesian generative models, which have until recently been deemed as intractable whenever formula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::0e536f1152e1f8a035e5c7148305573a
https://irep.ntu.ac.uk/id/eprint/33189/1/10579_Ferreira.pdf
https://irep.ntu.ac.uk/id/eprint/33189/1/10579_Ferreira.pdf
Publikováno v:
3rd Workshop on Recognition and Action for Scene Understanding (REACTS)
In this paper we present proof-of-concept for a novel solution consisting of a short-term 3D memory for artificial attention systems, loosely inspired in perceptual processes believed to be implemented in the human brain. Our solution supports the im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::957af7ed2ea6ca142782fd64c2b1a7ed
https://irep.ntu.ac.uk/id/eprint/33183/1/10576_Ferreira.pdf
https://irep.ntu.ac.uk/id/eprint/33183/1/10576_Ferreira.pdf
Publikováno v:
9th ACM/IEEE International Conference on Human-Robot Interaction: HRI: a bridge between Robotics and Neuroscience (Workshop 4)
The human ability of unconsciously attending to social signals, together with other even more primitive automatic attentional processes, has been argued in the literature to play an important part in social interaction. In this paper, we will argue t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::660861259f28ad512a9dcdf1213550ea
https://irep.ntu.ac.uk/id/eprint/33186/1/10573_Ferreira.pdf
https://irep.ntu.ac.uk/id/eprint/33186/1/10573_Ferreira.pdf