Modelling Physics-based Dynamic System using Machine Learning
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In this research, we proposed a simple approach by using statistical-based machine learning method called linear regression for helping the planner to predict
P-ISSN: 2615-6148 E-ISSN : 2615-7330 Open Access: https://doi.org/10.23887/jlls.v6i1.61000 Physics Learning Using Guided Inquiry Models Based on Virtual Laboratories and Real
Machine Learning Classi fi cation With Optimal Pathogen Combinations Four multivariate machine learning models neural network, random forest, support vector machine, and regularized
The actual performance of the proposed machine learning classification prediction model can be evaluated by comparing actual rainfall target variable data set values with the predicted
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This paper seeks to significantly improve the prediction of Surface Sea Temperature SST by combining two machine learning methodologies: short- term memory networks LSTM added to
This study aimed to create an efficient ASD prediction approach based on crucial selected features by combining machine learning ML classification, imputation, and feature selection FS