Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aleksandr Doikin"'
Publikováno v:
Proceedings of the Design Society. 1:191-200
The increase availability of operational data from the fleets of cars in the field offers opportunities to deploy machine learning to identify patterns of driver behaviour. This provides contextual intelligence insight that can be used to design stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::764f1ac49aca669d69c15fb612ad167c
https://doi.org/10.1017/pds.2021.20
https://doi.org/10.1017/pds.2021.20
Autor:
Aleksandr Doikin, Felician Campean, Martin Priest, Emanuele Angiolini, Chunxing Lin, Enrico Agostinelli
Publikováno v:
SAE International Journal of Engines. 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f279491c0584b8fc610754f5d50917
https://doi.org/10.4271/03-16-04-0026
https://doi.org/10.4271/03-16-04-0026
Autor:
Aleksandr Doikin, Felician Campean, Qichun Zhang, Alexey Uglanov, Kirill Kartashev, Emanuele Angiolini, Amr Abdullatif, Chunxing Lin
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
This paper outlines the current challenges of driver behaviour modelling for real-world applications and presents the novel method to identify the pattern of usage to predict upcoming journeys in probability sense. The primary aim is to establish sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac22d97603033d21c5707a9f1ca2f683
https://doi.org/10.1007/978-3-030-87094-2_48
https://doi.org/10.1007/978-3-030-87094-2_48
Autor:
Emanuele Angiolini, Kirill Kartashev, Qichun Zhang, Aleksandr Doikin, Alexey Uglanov, Felician Campean, Amr Abdullatif
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
This paper presents a novel approach for probabilistic clustering, motivated by a real-world problem of modelling driving behaviour. The main aim is to establish clusters of drivers with similar journey behaviour, based on a large sample of historic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::918c5b32db858018f7508928b1bd9826
https://doi.org/10.1007/978-3-030-87094-2_49
https://doi.org/10.1007/978-3-030-87094-2_49
Publikováno v:
Proceedings of the Design Society: International Conference on Engineering Design. 1:3581-3590
Advancing Industry 4.0 concepts by mapping the product of the automotive industry on the spectrum of Cyber Physical Systems, we immediately recognise the convoluted processes involved in the design of new generation vehicles. New technologies develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bd30bf28b79b4de37d7c54b8a1f64ba
https://doi.org/10.1017/dsi.2019.365
https://doi.org/10.1017/dsi.2019.365
Autor:
Thomas Byrne, Aleksandr Doikin, Andrew Sherratt, Felician Campean, Daniel Neagu, Morteza Soleimani
Publikováno v:
Proceedings of the Design Society: International Conference on Engineering Design. 1:857-866
Underpinned by a contemporary view of automotive systems as cyber-physical systems, characterised by progressively open architectures increasingly defined by their interaction with the users and the smart environment, this paper provides a critical a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::513aa6124980fc849206349c6cd77a74
https://doi.org/10.1017/dsi.2019.90
https://doi.org/10.1017/dsi.2019.90
Publikováno v:
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f97bd38ea22896b184044edda76266c8
https://doi.org/10.3850/978-981-14-8593-0_5430-cd
https://doi.org/10.3850/978-981-14-8593-0_5430-cd
Autor:
Andrew Sherratt, Martin Priest, Andrew Brown, Esmaeil Habib Zadeh, Aleksandr Doikin, Felician Campean
Publikováno v:
Procedia Manufacturing. 16:115-122
Variable-displacement vane oil pumps are increasingly employed in automotive powertrains for their efficiency benefits through reduced losses. However, confirming long life reliability of a new commodity based on limited data available from product d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6373a80dcf0ee86b10460b741a3d8aad
https://doi.org/10.1016/j.promfg.2018.10.170
https://doi.org/10.1016/j.promfg.2018.10.170