首页|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)

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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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.”

University of SargodhaSargodhaPakist anAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.1)