Robotics & Machine Learning Daily News2024,Issue(Aug.26) :34-35.

Research Data from Faculty of Computer Science Update Understandingof Machine L earning (Implementation of Quantum Machine Learning In Predicting Corrosion Inhi bition Efficiency of Expired Drugs)

Robotics & Machine Learning Daily News2024,Issue(Aug.26) :34-35.

Research Data from Faculty of Computer Science Update Understandingof Machine L earning (Implementation of Quantum Machine Learning In Predicting Corrosion Inhi bition Efficiency of Expired Drugs)

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Abstract

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 out of Semarang, Indonesia, b y NewsRx editors, research stated, “This study explores thepotential of quantum machine learning (QML) ‘s potential in predicting expired pharmaceutical compounds’ corrosion inhibition capacity. This investigation utilized a QSPR model whe re features derived fromdensity functional theory (DFT) calculations are used a s input, while the corrosion inhibition efficiency(CIE) values derived from the experimental study are used as target output.”

Key words

Semarang/Indonesia/Asia/Cyborgs/Drug s and Therapies/Emerging Technologies/Machine Learning/Faculty of Computer Sc ience

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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