Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Vasco Lopes"'
Publikováno v:
SN Applied Sciences, Vol 3, Iss 5, Pp 1-13 (2021)
Abstract In this paper, we propose three methods for door state classification with the goal to improve robot navigation in indoor spaces. These methods were also developed to be used in other areas and applications since they are not limited to door
Externí odkaz:
https://doaj.org/article/00287272379e4c309566ae0c8b84b689
Publikováno v:
Entropy, Vol 23, Iss 8, p 1072 (2021)
Pattern analysis is a widely researched topic in team sports performance analysis, using information theory as a conceptual framework. Bayesian methods are also used in this research field, but the association between these two is being developed. Th
Externí odkaz:
https://doaj.org/article/c609def279fd4272936e2647996c2e9b
Autor:
Vasco Lopes, Luís A Alexandre
Publikováno v:
Ledger, Vol 4, Iss 0 (2019)
Blockchain technology is growing everyday at a fast-passed rhythm and it is possible to integrate it with many systems, namely Robotics with AI services. However, this is still a recent field and there is not yet a clear understanding of what it coul
Externí odkaz:
https://doaj.org/article/ae3680a27d3046d2997a2e0c87fc95c3
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1543 (2020)
Pattern analysis is a well-established topic in team sports performance analysis, and is usually centered on the analysis of passing sequences. Taking a Bayesian approach to the study of these interactions, this work presents novel entropy mathematic
Externí odkaz:
https://doaj.org/article/d46a52dc3bbe41e386a7094a96c335e4
Publikováno v:
2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a804c1198059dd53ee891f3e6ac33ea
https://doi.org/10.1109/icarcv57592.2022.10004316
https://doi.org/10.1109/icarcv57592.2022.10004316
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81216f61a895eac2475fe39351aae5f1
https://doi.org/10.1145/3520304.3528936
https://doi.org/10.1145/3520304.3528936
Publikováno v:
IEEE Transactions on Information Forensics and Security. 16:5442-5451
It is known that the kinematics of the human body skeleton reveals valuable information in action recognition. Recently, modeling skeletons as spatio-temporal graphs with Graph Convolutional Networks (GCNs) has been reported to solidly advance the st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a4ff6c5ca8a76b46bbf2fc3a916310
https://doi.org/10.1109/tifs.2021.3130437
https://doi.org/10.1109/tifs.2021.3130437
Publikováno v:
Forests; Volume 13; Issue 3; Pages: 408
Countries unaccustomed to wildfires are currently experiencing wildfire as a new climate-change reality. Understanding how fire ignition and propagation are correlated with temperature, orography, humidity, wind, and the mixture and age of individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a5190871e9f97d598a3c7ce2f5c7b9
https://hdl.handle.net/10400.26/39666
https://hdl.handle.net/10400.26/39666
Publikováno v:
2021 International Conference on Decision Aid Sciences and Application (DASA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394db12f37cdb6d0f8cdfb9cbb010488
https://doi.org/10.1109/dasa53625.2021.9681926
https://doi.org/10.1109/dasa53625.2021.9681926