Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Cyril De Runz"'
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 8, Iss 2, Pp 112-125 (2022)
In massive multi-agents systems, that are used to model some complex systems, emergence is a key feature that allows to model high level states of such systems. According to this perspective, the work we introduce in this paper entails the handling o
Externí odkaz:
https://doaj.org/article/8e8d5cc3c1dc4da0a425f7afd58c0360
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7313 (2023)
Intelligent transportation systems (ITS) enhance safety, comfort, transport efficiency, and environmental conservation by allowing vehicles to communicate wirelessly with other vehicles and road infrastructure. Cooperative awareness messages (CAMs) c
Externí odkaz:
https://doaj.org/article/5f368c88d0d141fca172a6fe80f4afa9
Publikováno v:
Research in Learning Technology, Vol 27, Iss 0, Pp 1-14 (2019)
The main purpose of this article is to investigate the impact of teacher’s position on students’ performance in higher education. A new pedagogical approach based on collaborative learning is used due to the design of a smart learning environment
Externí odkaz:
https://doaj.org/article/253b3e58b94845cabdd7f2cc46e83b75
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2308 (2022)
We present in this paper the state of the art and an analysis of recent research work and achievements performed in the domain of AI-based and vision-based systems for helping blind and visually impaired people (BVIP). We start by highlighting the re
Externí odkaz:
https://doaj.org/article/f519b0f5f67e4ff0a7172a69084ad185
Publikováno v:
Agriculture, Vol 11, Iss 11, p 1083 (2021)
Smart agriculture technologies are effective instruments for increasing farm sustainability and production. They generate many spatial, temporal, and time-series data streams that, when analysed, can reveal several issues on farm productivity and eff
Externí odkaz:
https://doaj.org/article/4b34c692a13f496883234f176f9590fc
OSMWatchman: Learning How to Detect Vandalized Contributions in OSM Using a Random Forest Classifier
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 9, p 504 (2020)
Though Volunteered Geographic Information (VGI) has the advantage of providing free open spatial data, it is prone to vandalism, which may heavily decrease the quality of these data. Therefore, detecting vandalism in VGI may constitute a first way of
Externí odkaz:
https://doaj.org/article/67d708a8bf5e41f6af731c830a6f806e
Publikováno v:
Soft Computing
Soft Computing, 2023, 27, pp.9367-9382. ⟨10.1007/s00500-023-08406-3⟩
Soft Computing, 2023, 27, pp.9367-9382. ⟨10.1007/s00500-023-08406-3⟩
Deterministic methods used to address the coverage problem in an uncertain deployment environment have not proven to be very successful. For this purpose, the original idea of this paper is to deal with the coverage problem in an uncertain environmen
Publikováno v:
Annals of Telecommunications. 77:331-344
Publikováno v:
International Journal of Fuzzy System Applications
International Journal of Fuzzy System Applications, 2021, 10 (3), pp.30-54. ⟨10.4018/IJFSA.2021070103⟩
International Journal of Fuzzy System Applications, 2021, 10 (3), pp.30-54. ⟨10.4018/IJFSA.2021070103⟩
International audience; The study of coverage problem in uncertain WSN environment requires the consideration of this uncertainty by taking the best possible decisions, since it is impossible to explicitly represent all the combinatorics to produce a
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).