Robotics & Machine Learning Daily News2024,Issue(Oct.1) :49-49.

University of Sargodha Researchers Yield New Study Findings on Machine Learning (A Novel Hybrid Approach for Driver Drowsiness Detection Using a Custom Deep Lea rning Model)

Robotics & Machine Learning Daily News2024,Issue(Oct.1) :49-49.

University of Sargodha Researchers Yield New Study Findings on Machine Learning (A Novel Hybrid Approach for Driver Drowsiness Detection Using a Custom Deep Lea rning Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Sargodha, Pakistan, by NewsRx journalists, research stated, “Driver Drowsiness Detection (D3) is a challengin g task as it requires analysis based on various behavioral and physiological sig ns such as health issues, mental stress, and exhaustion. Data analytics reveals that driver drowsiness is the reason for one-fifth of all traffic accidents worl dwide.”

Key words

University of Sargodha/Sargodha/Pakist an/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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