Study Findings from National University of Science and Technology(NUST) Advance Knowledge in Machine Learning (Machine Learning-Enabled Prediction and Optimiza tion of Sulfur Recovery Units: A Step towards Industry 4.0 Integration)

Robotics & Machine Learning Daily News2024，Issue(Jul.8) ：14-14.

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Study Findings from National University of Science and Technology(NUST) Advance Knowledge in Machine Learning (Machine Learning-Enabled Prediction and Optimiza tion of Sulfur Recovery Units: A Step towards Industry 4.0 Integration)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting fromIslamabad, Pakistan, by NewsR x journalists, research stated, “Sulfur recovery units are integral to the oila nd gas industry, addressing the release of hazardous gases, particularly hydroge n sulfide.”

Key words

National University of Science and Techn ology (NUST)/Islamabad/Pakistan/Asia/Chalcogens/Cyborgs/Emerging Technolog ies/Gaussian Processes/Machine Learning/Sulfur

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出版年

2024

Robotics & Machine Learning Daily News

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