Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report.According to news reporting from Maha Sarakham,Thailand,by NewsRx journalists,research stated,"This study proposes a novel heterogeneous ensemble machine learning methodology to predict the concentratio n of asiaticoside in Centella asiatica (CA-CA) in the context of the lack of an effective prediction method capable of accurately estimating its quantity based on various growing environmental factors." The news correspondents obtained a quote from the research from Faculty of Engin eering:"The accurate prediction of the asi-aticoside concentration in CA-CA hol ds great significance in optimizing cultivation practices and improving the effi cacy of the derived medicinal products.The presented approach aims to address t his crucial need by employing a diverse ensemble of machine learning techniques.The proposed model integrates several machine learning tech-niques,including t he standard long short-term memory (LSTM),gated recurrent unit (GRU),convoluti onal long short-term memory (ConvLSTM),and attention-based LSTM,by utilizing a differential evolution algorithm to optimize the ensemble model's weights.The developed model is called the heterogeneous ensemble machine learning model (He- ML).Experimental results demonstrate that the He-ML achieves an im-pressive roo t-mean-square error (RMSE) value of 4.76,which is up to 12.48 % l ower than the RMSE.The findings highlight the advantages of employing an ensemb le model over a single model,as the ensemble model achieves an RMSE value that is 14.67 % lower than that of the individual machine learning mode l."
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