首页|Researchers from Shanghai University Describe Findings in Machine Learning (Comp arative Study of Machine Learning-based Qsar Modeling of Anti-inflammatory Compo unds From Durian Extraction)
Researchers from Shanghai University Describe Findings in Machine Learning (Comp arative Study of Machine Learning-based Qsar Modeling of Anti-inflammatory Compo unds From Durian Extraction)
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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 Shanghai, Pe ople's Republic of China, by NewsRx journalists, research stated, "Quantitative structure-activity relationship (QSAR) analysis, an in silico methodology, offer s enhanced efficiency and cost effectiveness in investigating anti-inflammatory activity. In this study, a comprehensive comparative analysis employing four mac hine learning algorithms (random forest (RF), gradient boosting regression (GBR) , support vector regression (SVR), and artificial neural networks (ANNs)) was co nducted to elucidate the activities of naturally derived compounds from durian e xtraction." Funders for this research include Chulalongkorn University, Thailand Science Res earch and Innovation, Shanghai Municipal Science and Technology Commission of th e Professional and Technical Service Platform for the Designing and Manufacturin g of Advanced Composite Materials, Emerging Industries Research Institute, Shang hai University (Jiaxing, Zhejiang), Thailand Research Fund (TRF), Chulalongkorn University.
ShanghaiPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShanghai University
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