首页|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)
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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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.”
SemarangIndonesiaAsiaCyborgsDrug s and TherapiesEmerging TechnologiesMachine LearningFaculty of Computer Sc ience
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