Robotics & Machine Learning Daily News2024,Issue(Mar.15) :74-75.

Queensland University of Technology Reports Findings in Artificial Intelligence (Revisiting the hybrid approach of anomaly detection and extreme value theory fo r estimating pedestrian crashes using traffic conflicts obtained from artificial ...)

Robotics & Machine Learning Daily News2024,Issue(Mar.15) :74-75.

Queensland University of Technology Reports Findings in Artificial Intelligence (Revisiting the hybrid approach of anomaly detection and extreme value theory fo r estimating pedestrian crashes using traffic conflicts obtained from artificial ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Brisb ane, Australia, by NewsRx correspondents, research stated, “Pedestrians represen t a group of vulnerable road users who are at a higher risk of sustaining severe injuries than other road users. As such, proactively assessing pedestrian crash risks is of paramount importance.”

Key words

Brisbane/Australia/Australia and New Z ealand/Artificial Intelligence/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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