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Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction

Adebamigbe Fasanmade Orcid Logo, Ali H. Al-Bayatti Orcid Logo, Jarrad Neil Morden Orcid Logo, Fabio Caraffini Orcid Logo

Next Research, Start page: 101931

Swansea University Author: Fabio Caraffini Orcid Logo

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Published in: Next Research
ISSN: 3050-4759
Published: Elsevier BV 2026
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URI: https://cronfa.swan.ac.uk/Record/cronfa71993
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title Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
spellingShingle Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
Fabio Caraffini
title_short Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
title_full Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
title_fullStr Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
title_full_unstemmed Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
title_sort Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
author_id_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb
author_id_fullname_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
author Fabio Caraffini
author2 Adebamigbe Fasanmade
Ali H. Al-Bayatti
Jarrad Neil Morden
Fabio Caraffini
format Journal article
container_title Next Research
container_start_page 101931
publishDate 2026
institution Swansea University
issn 3050-4759
doi_str_mv 10.1016/j.nexres.2026.101931
publisher Elsevier BV
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
url https://doi.org/10.1016/j.nexres.2026.101931
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published_date 2026-05-01T12:42:28Z
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