Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Daniel Canedo"'
Autor:
Rafael Sá, Luís Jorge Gonçalves, Jorge Medina, António Neves, Fernando Marsh, Mohammed Al-Rawi, Daniel Canedo, Rita Dias, Tiago Pereiro, João Hipólito, Alberto Lago da Silva, João Fonte, Luís Gonçalves Seco, Marta Vázquez, Jose Moreira
Publikováno v:
Journal of Computer Applications in Archaeology, Vol 7, Iss 1, Pp 225–236-225–236 (2024)
Geospatial data acquisition methods like airborne LiDAR allow for obtaining large volumes of data, such as aerial and satellite imagery, which are increasingly being used in archaeology. As in other subjects, the ability to produce raw datasets far e
Externí odkaz:
https://doaj.org/article/aebeebf3ed6a4a099727eafcfce0a45a
The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation
Autor:
Daniel Canedo, João Hipólito, João Fonte, Rita Dias, Tiago do Pereiro, Petia Georgieva, Luís Gonçalves-Seco, Marta Vázquez, Nelson Pires, Pastor Fábrega-Álvarez, Fernando Menéndez-Marsh, António J. R. Neves
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1933 (2024)
The increasing relevance of remote sensing and artificial intelligence (AI) for archaeological research and cultural heritage management is undeniable. However, there is a critical gap in this field. Many studies conclude with identifying hundreds or
Externí odkaz:
https://doaj.org/article/6c7c3dce5f7a4927969bb58ca6bad4d0
Autor:
Daniel Canedo, Joao Fonte, Luis Goncalves Seco, Marta Vazquez, Rita Dias, Tiago Do Pereiro, Joao Hipolito, Fernando Menendez-Marsh, Petia Georgieva, Antonio J. R. Neves
Publikováno v:
IEEE Access, Vol 11, Pp 65608-65619 (2023)
Mapping potential archaeological sites using remote sensing and artificial intelligence can be an efficient tool to assist archaeologists during project planning and fieldwork. This paper explores the use of airborne LiDAR data and data-centric artif
Externí odkaz:
https://doaj.org/article/598f75824aaf49a5ad154b28d479812d
Publikováno v:
Technologies, Vol 9, Iss 4, p 94 (2021)
Floor-cleaning robots are becoming increasingly more sophisticated over time and with the addition of digital cameras supported by a robust vision system they become more autonomous, both in terms of their navigation skills but also in their capabili
Externí odkaz:
https://doaj.org/article/bf8f84164b544dce853ea4b426be24bd
Autor:
Daniel Canedo, António J. R. Neves
Publikováno v:
Applied Sciences, Vol 9, Iss 21, p 4678 (2019)
Emotion recognition has attracted major attention in numerous fields because of its relevant applications in the contemporary world: marketing, psychology, surveillance, and entertainment are some examples. It is possible to recognize an emotion thro
Externí odkaz:
https://doaj.org/article/7fd2a4a169014d7badfecf2789d562ce
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Revista de Gestión Universitaria. :1-5
With the fourth industrial revolution, the paradigm of the intelligent university was born. An innovative pillar is, in the teaching function, the intelligent curriculum. This curriculum is student-centered and requires continuous labor market screen
Autor:
Gerardo Miguel Canedo-Montoya, Gerardo Enrique Canedo-Romero, Nancy Maria López-Mejía, Enrique Daniel Canedo-Montoya
Publikováno v:
Revista de Tecnologías de la Información. :1-4
The world economic forum in Davos in 2016 formalised the concept of Industry 4.0, marking a transformation from the digital industry to the smart industry. One of the most pressing problems is the modeling of the intelligent industry as an organizati
Publikováno v:
Revista de Educación Técnica. :8-11
In this work of diagnostic nature, addresses aspects of the With the advent of the knowledge society, intelligent organizations are changing human activities. The university is no stranger to its transformation. The smart university will provide high
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783031048807
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ba9c56d667115baa17f27bf1b0fe5e8
https://doi.org/10.1007/978-3-031-04881-4_30
https://doi.org/10.1007/978-3-031-04881-4_30