Zobrazeno 1 - 10
of 29
pro vyhledávání: '"M. C. Da Costa"'
Autor:
Nelson R. P. Rodrigues, Nuno M. C. da Costa, César Melo, Ali Abbasi, Jaime C. Fonseca, Paulo Cardoso, João Borges
Publikováno v:
Sensors, Vol 23, Iss 12, p 5610 (2023)
In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different al
Externí odkaz:
https://doaj.org/article/478e93e64da64f0aafd79648981a622d
Publikováno v:
Sensors, Vol 23, Iss 8, p 3993 (2023)
Multi-human detection and tracking in indoor surveillance is a challenging task due to various factors such as occlusions, illumination changes, and complex human-human and human-object interactions. In this study, we address these challenges by expl
Externí odkaz:
https://doaj.org/article/35681c993a6747f69d553e217fdf0051
Publikováno v:
Engenharia Agrícola, Vol 40, Iss 3, Pp 388-395 (2020)
ABSTRACT Guava is a fruit that stands out for its aroma, intense flavor, vitamins, and minerals. Its availability as a powdered food enhances its commercial applications. This study aimed to evaluate mathematical models for adsorption isotherms and d
Externí odkaz:
https://doaj.org/article/b74f119713f844df8068fdde49568a83
Autor:
Maria João Gouveia, Paul J. Brindley, Gabriel Rinaldi, Fátima Gärtner, José M. C. da Costa, Nuno Vale
Publikováno v:
Infectious Agents and Cancer, Vol 14, Iss 1, Pp 1-9 (2019)
Abstract Background Infections classified as group 1 biological carcinogens include the helminthiases caused by Schistosoma haematobium and Opisthorchis viverrini. The molecular mediators underlying the infection with these parasites and cancer remai
Externí odkaz:
https://doaj.org/article/9cc791c4b01f4c9db97b47e8340b9f69
Autor:
Maria João Gouveia, Paul J. Brindley, Carlos Azevedo, Fátima Gärtner, José M. C. da Costa, Nuno Vale
Publikováno v:
Parasites & Vectors, Vol 12, Iss 1, Pp 1-12 (2019)
Abstract Background Treatment of schistosomiasis has relied on the anthelmintic drug praziquantel (PZQ) for more than a generation. Despite its celebrated performance for treatment and control of schistosomiasis and other platyhelminth infections, pr
Externí odkaz:
https://doaj.org/article/bc214736e99e4f47b1862cc7c0bfcd5a
Autor:
Borges, Nelson R. P. Rodrigues, Nuno M. C. da Costa, César Melo, Ali Abbasi, Jaime C. Fonseca, Paulo Cardoso, João
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5610
In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different al
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7725 (2021)
Neurofeedback training (NFT) is a technique often proposed to train brain activity SR with promising results. However, some criticism has been raised due to the lack of evaluation, reliability, and validation of its learning effects. The current work
Externí odkaz:
https://doaj.org/article/d386d642a72742d98a57a5ef45cae35c
Autor:
Nelson Rodrigues, Nuno M. C. da Costa, César Gonçalo Macedo Melo, Ali Abbasi, Jaime C. Fonseca, Paulo Cardoso, João Borges
In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to detect objects, namely lost/forgotten items to inform the passeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8098e4dfa00c66ae0b9461a23a390551
https://doi.org/10.20944/preprints202304.1242.v1
https://doi.org/10.20944/preprints202304.1242.v1
Publikováno v:
Engenharia Agrícola, Vol 35, Iss 1, Pp 144-153 (2015)
This study aimed at evaluating the effects of ethylene on peel color and compositional changes in ‘Lane late’ orange stored under refrigerated and ambient conditions. Physiologically mature, but green-peeled, oranges were exposed to ethylene gas
Externí odkaz:
https://doaj.org/article/ea3e389c8e5040d28c61214276fbeec9
Autor:
Valdemar Leiras, Sandra Dixe, Nuno M. C. da Costa, L. Filipe Azevedo, Paulo Cardoso, Jaime C. Fonseca, Antonio H. J. Moreira, Joao Borges
Publikováno v:
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA).