首页|Data on Machine Learning Reported by Apostolos Ziakopoulos and Colleagues (Analy sis of harsh braking and harsh acceleration occurrence via explainable imbalance d machine learning using highresolution smartphone telematics and traffic data)
Data on Machine Learning Reported by Apostolos Ziakopoulos and Colleagues (Analy sis of harsh braking and harsh acceleration occurrence via explainable imbalance d machine learning using highresolution smartphone telematics and traffic data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Athens, Gree ce, by NewsRx editors, the research stated, “Harsh driving eventssuch as harsh brakings (HBs) and harsh accelerations (HAs) are promising Surrogate Safety Meas ures,already extensively utilised in road safety research. However, their occur rence relative to normal drivingconditions has not been the explicit target of research, as they are typically used as inputs for crashprediction.”
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