Researchers from Swinburne University of Technology Describe Findings in Machine Learning (Enhancing Road Safety With Machine Learning: Current Advances and Fut ure Directions In Accident Prediction Using Non-visual Data)

Robotics & Machine Learning Daily News2024，Issue(Nov.1) ：38-39.

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Researchers from Swinburne University of Technology Describe Findings in Machine Learning (Enhancing Road Safety With Machine Learning: Current Advances and Fut ure Directions In Accident Prediction Using Non-visual Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Sarawak, Malaysia, by New sRx journalists, research stated, “Road traffic accident (RTA) poses a significa nt road safety issue due to the increased fatalities worldwide. To address it, v arious artificial intelligence solutions are developed to analyze RTA characteri stics and make predictions.” Financial support for this research came from Swinburne HDR Scholarship.

Key words

Sarawak/Malaysia/Asia/Cyborgs/Emergi ng Technologies/Machine Learning/Swinburne University of Technology

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出版年

2024

Robotics & Machine Learning Daily News

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