Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Nicolas Verstaevel"'
Publikováno v:
Sensors, Vol 24, Iss 5, p 1639 (2024)
Large-scale crowd phenomena are complex to model because the behaviour of pedestrians needs to be described at both strategic, tactical, and operational levels and is impacted by the density of the crowd. Microscopic models manage to mimic the dynami
Externí odkaz:
https://doaj.org/article/b08e258158ef4e58958983c0bf55eabf
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0231778 (2020)
Air pollution with PM2.5 (particulate matter smaller than 2.5 micro-metres in diameter) is a major health hazard in many cities worldwide, but since measuring instruments have traditionally been expensive, monitoring sites are rare and generally show
Externí odkaz:
https://doaj.org/article/068499fee68943b0865e7476872bc898
Autor:
Bilal Arshad, Robert Ogie, Johan Barthelemy, Biswajeet Pradhan, Nicolas Verstaevel, Pascal Perez
Publikováno v:
Sensors, Vol 19, Iss 22, p 5012 (2019)
Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade h
Externí odkaz:
https://doaj.org/article/5b79bce079234328be78aefb0d5bdbb5
Publikováno v:
Sensors, Vol 19, Iss 9, p 2048 (2019)
The increasing development of urban centers brings serious challenges for traffic management. In this paper, we introduce a smart visual sensor, developed for a pilot project taking place in the Australian city of Liverpool (NSW). The project’s aim
Externí odkaz:
https://doaj.org/article/e3bd0e1d198c45ab9e33acb3d92b7618
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031220388
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c616cbb7d39e930fab85d5793a61d0a1
https://doi.org/10.1007/978-3-031-22039-5_9
https://doi.org/10.1007/978-3-031-22039-5_9
Publikováno v:
Multi-Agent-Based Simulation XXII ISBN: 9783030945473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c81223109377750d2642ad16d2afe5f
https://doi.org/10.1007/978-3-030-94548-0_12
https://doi.org/10.1007/978-3-030-94548-0_12
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031181917
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::157601f535dfd02ac653cc7d4ad9ba8c
https://doi.org/10.1007/978-3-031-18192-4_14
https://doi.org/10.1007/978-3-031-18192-4_14
Publikováno v:
Proceedings of the 13th International Conference on Agents and Artificial Intelligence-Volume 1: ICAART ; ISBN: 978-989-758-484-8 ; ISSN: 2184-433X
13th International Conference on Agents and Artificial Intelligence (ICAART 2021)
13th International Conference on Agents and Artificial Intelligence (ICAART 2021), Feb 2021, Online Streaming, Netherlands. pp.224-231, ⟨10.5220/0010210502240231⟩
ICAART (1)
13th International Conference on Agents and Artificial Intelligence (ICAART 2021)
13th International Conference on Agents and Artificial Intelligence (ICAART 2021), Feb 2021, Online Streaming, Netherlands. pp.224-231, ⟨10.5220/0010210502240231⟩
ICAART (1)
International audience; In this paper we introduce a dataset of environmental information obtained via indoor and outdoor sensors deployed in the SMART Infrastructure Facility of the University of Wollongong (Australia). The acquired dataset is also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c31e30b9904fdbd7c1c1c6d7adda708
https://hal.archives-ouvertes.fr/hal-03228685
https://hal.archives-ouvertes.fr/hal-03228685
Publikováno v:
Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings
Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings, 12498, pp.317-330, 2020, Lecture Notes in Computer Science book series (LNCS), ⟨10.1007/978-3-030-63799-6_24⟩
40th SGAI International Conference on Artificial Intelligence
40th SGAI International Conference on Artificial Intelligence, pp.317-330, 2020, ⟨10.1007/978-3-030-63799-6⟩
Lecture Notes in Computer Science ISBN: 9783030637989
SGAI Conf.
Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings, 12498, pp.317-330, 2020, Lecture Notes in Computer Science book series (LNCS), ⟨10.1007/978-3-030-63799-6_24⟩
40th SGAI International Conference on Artificial Intelligence
40th SGAI International Conference on Artificial Intelligence, pp.317-330, 2020, ⟨10.1007/978-3-030-63799-6⟩
Lecture Notes in Computer Science ISBN: 9783030637989
SGAI Conf.
International audience; Helping users to find pertinent documents within a big corpus through the use of simple queries on a search engine is a major concern in the information retrieval field. The work presented in this article combines the use of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a203ac4cbb379e5ea1fac6656ed19912
https://hal.archives-ouvertes.fr/hal-03108194/document
https://hal.archives-ouvertes.fr/hal-03108194/document
Publikováno v:
Progress in Disaster Science
Progress in Disaster Science, 2020, 7, pp.100111. ⟨10.1016/j.pdisas.2020.100111⟩
Progress in Disaster Science, Vol 7, Iss, Pp 100111-(2020)
Progress in Disaster Science, 2020, 7, pp.100111. ⟨10.1016/j.pdisas.2020.100111⟩
Progress in Disaster Science, Vol 7, Iss, Pp 100111-(2020)
This paper contributes in several ways. It analyses how the term, disaster informatics has been used over time in the literature in order to establish if there are any patterns of usage or shared meanings across countries/regions or disciplines. Base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac2e093a6087ed26e85cb74ded28528
https://hal.archives-ouvertes.fr/hal-02867456
https://hal.archives-ouvertes.fr/hal-02867456