… The main aim of this work was to compare six machine learning (ML) - based models to
predict the municipal solid waste (MSW) generation from selected residential areas of Vietnam. …

… prediction model based on single machine learning algorithms need to be improved, and
the hybrid prediction … The objective of this study was to obtain the most accurate prediction of …

… machine learning (OML) methods are used to build the ensemble model and the weighted
majority voting method is used as a combination method. In general, as there is no specific …

… with the AST/ALT ratio, and noticed that our two-features ensemble learning model … usefulness
of ensemble machine learning for hepatitis C and cirrhosis diagnosis prediction. Moreover…

… The results obtained indicate that the prediction ability of the random forests DM model is
superior to the other ensemble learners, followed by the ensemble Bag-CHAID method. On …

… In this context, this study developed a machine learning model able to predict MSW LHV.
The GPR models were trained using calculated MSW LHV data obtained from a WtE plant as …

… ensemble machine learning (ML) model for prediction … ensemble ML model’s prediction
performance was compared with five commonly-used ML models. It is shown that the ensemble …

… We conducted a novel study by utilizing machine learning and an IoT-based mechanism
to effectively handle smart garbage management systems, and our system showed an …

… prediction results with different models, including benchmark smart persistence and traditional
machine learning … In this paper, a new approach for estimating hourly GHI is developed …

… ensemble machine learning … predicting the wastewater effluent parameters (eg, BOD 5 ,
COD, TDS). The main aim of this research is to assess the performance of the ensemble learning …