Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Danh Le Phuoc"'
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Publikováno v:
Sensors, Vol 20, Iss 10, p 2788 (2020)
Semantic interoperability for the Internet of Things (IoT) is enabled by standards and technologies from the Semantic Web. As recent research suggests a move towards decentralised IoT architectures, we have investigated the scalability and robustness
Externí odkaz:
https://doaj.org/article/14be90bdbc0d4931afa5a5e779e4c907
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:4996-5005
Driven by deep neural networks (DNN), the recent development of computer vision makes vision sensors such as stereo cameras and Lidars ubiquitous in autonomous cars, robotics and traffic monitoring. However, a traditional DNN-based data fusion pipeli
Publikováno v:
Sensors, Vol 19, Iss 20, p 4362 (2019)
Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relations
Externí odkaz:
https://doaj.org/article/71611e7e59144fba9072f881bbb8b64a
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Publikováno v:
The Semantic Web ISBN: 9783031069802
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dea7d82f6541bdafd1f78af1b15a2bb
https://doi.org/10.1007/978-3-031-06981-9_24
https://doi.org/10.1007/978-3-031-06981-9_24
Autor:
Danh Le-Phuoc, Manfred Hauswirth
Publikováno v:
Encyclopedia of Big Data Technologies ISBN: 9783319639628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e09464f97f63efe99d24060fb96ecef4
https://doi.org/10.1007/978-3-319-63962-8_287-2
https://doi.org/10.1007/978-3-319-63962-8_287-2
Publikováno v:
DEBS
Video streams are becoming ubiquitous in smart cities and traffic monitoring. Recent advances in computer vision with deep neural networks enable querying a rich set of visual features from these video streams. However, it is challenging to deploy th
Autor:
Andrea Perego, Danh Le-Phuoc, Kerry Taylor, Krzysztof Janowicz, Armin Haller, Bill Roberts, Byron Cochrane, Andreas Harth, Raphaël Troncy, Yasmin Fathy, Josh Lieberman, Maxime Lefrançois, Sefki Kolozali, Linda van den Brink, Payam Barnaghi, Bart van Leeuwen, Robert Atkinson, Jeremy Tandy, Ghislain Auguste Atemezing, Raúl García Castro
Publikováno v:
Semantic Web – Interoperability, Usability, Applicability
Semantic Web – Interoperability, Usability, Applicability, IOS Press, In press
Semantic Web – Interoperability, Usability, Applicability, IOS Press, In press
International audience; Data owners are creating an ever richer set of information resources online, and these are being used for more and more applications. Spatial data on the Web is becoming ubiquitous and voluminous with the rapid growth of locat
Publikováno v:
Semantic Technology ISBN: 9783030414061
JIST
JIST
The wide adoption of increasingly cheap and computationally powerful single-board computers, has triggered the emergence of new paradigms for collaborative data processing among IoT devices. Motivated by the billions of ARM chips having been shipped
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9261f543b4364f92eda01fc0f35f803c
https://doi.org/10.1007/978-3-030-41407-8_20
https://doi.org/10.1007/978-3-030-41407-8_20