Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Maria Dagaeva"'
Autor:
Rifkat Minnikhanov, Igor Anikin, Aigul Mardanova, Maria Dagaeva, Alisa Makhmutova, Azat Kadyrov
Publikováno v:
Mathematics, Vol 10, Iss 3, p 388 (2022)
The approach for the detection of vehicle trajectory abnormalities on CCTV video from road intersections was proposed and evaluated. We mainly focused on the trajectory analysis method rather than objects detection and tracking. Two basic challenges
Externí odkaz:
https://doaj.org/article/873b2a0035214ee3b98608ca10a3f80c
Publikováno v:
Computer Research and Modeling. 13:429-435
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a20648fe725c7bb959f22d6ebe322a25
https://doi.org/10.20537/2076-7633-2021-13-2-429-435
https://doi.org/10.20537/2076-7633-2021-13-2-429-435
Publikováno v:
Computer Research and Modeling. 13:395-404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294720ccb2cab42a4cb9119143b26dd3
https://doi.org/10.20537/2076-7633-2021-13-2-395-404
https://doi.org/10.20537/2076-7633-2021-13-2-395-404
Publikováno v:
Computer Research and Modeling. 13:405-415
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01d029ff9fdcade9b092399a80fef1f6
https://doi.org/10.20537/2076-7633-2021-13-2-405-415
https://doi.org/10.20537/2076-7633-2021-13-2-405-415
Publikováno v:
Sustainable Civil Infrastructures ISBN: 9783030798000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd732a3e0fd73028100ebe55ede3dd8
https://doi.org/10.1007/978-3-030-79801-7_18
https://doi.org/10.1007/978-3-030-79801-7_18
Publikováno v:
Sustainable Civil Infrastructures ISBN: 9783030798000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aaa031271c1f43b539f0ff2ee6cfb39
https://doi.org/10.1007/978-3-030-79801-7_62
https://doi.org/10.1007/978-3-030-79801-7_62
Publikováno v:
IET Intelligent Transport Systems. 13:1649-1657
Nowadays, spatio-temporal data analytics plays an important role in different applications based on geographic information system (GIS). One of such applications is emergency management information systems (EMISs) which process a huge amount of spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f683d2f279f40b0a861996733d77f65
https://doi.org/10.1049/iet-its.2019.0171
https://doi.org/10.1049/iet-its.2019.0171
Autor:
Aleksey Katasev, Maria Dagaeva
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783030660765
The problem of eliminating the redundancy of knowledge bases formed based on fuzzy neural networks is considered. To solve this problem, fuzzy rules reduction technology based on the principles of knowledge taxonomy and genetic optimization was propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b02804bebbc932642fb0912b484c55a8
https://doi.org/10.1007/978-3-030-66077-2_9
https://doi.org/10.1007/978-3-030-66077-2_9
Autor:
Maria Dagaeva, Rifkat Minnikhanov, Artur Sabitov, Alexey Sergeevich Katasev, Timur I Asliamov
Publikováno v:
Cyber-Physical Systems ISBN: 9783030678913
In this chapter text mining approach for emergency calls management systems is investigated. A data mining approach of emergency calls classification based on the machine learning decision tree method was proposed. As an input dataset for model build
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce9585a1e43566e2a49d286c72a149fd
https://doi.org/10.1007/978-3-030-67892-0_17
https://doi.org/10.1007/978-3-030-67892-0_17
Publikováno v:
2020 International Russian Automation Conference (RusAutoCon).
Traffic management is one of the fundamental tasks of intelligent transport systems (ITS). It includes real-time data collection from the roads, its processing, and transmission of useful information to various decision-making systems. Loop detectors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca6243d1d516a4fa1c73853387ea0ba
https://doi.org/10.1109/rusautocon49822.2020.9208032
https://doi.org/10.1109/rusautocon49822.2020.9208032