Faculty of Computer Science Reports Findings in Machine Learning (Development of Quantum Machine Learning To Evaluate the Corrosion Inhibition Capability of Pyrimidine Compounds)
Faculty of Computer Science Reports Findings in Machine Learning (Development of Quantum Machine Learning To Evaluate the Corrosion Inhibition Capability of Pyrimidine Compounds)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating in Semarang, Indonesia, by NewsRx journalists, research stated, “This investigation employs a quantum neural network (QNN) synergistically integrated with a quantitative structure-property relationship (QSPR) model for the comprehensive evaluation of corrosion inhibition efficiency (CIE) in pyrimidine compounds.”
Key words
Semarang/Indonesia/Asia/Cyborgs/Emerging Technologies/Machine Learning/Faculty of Computer Science
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NSTL