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Modeling of catastrophe prediction based on fuzzy reasoning in intelligent agricultureThe pest catastrophe prediction in ecology catastrophe is one of important part in expert system
Hybrid predictive modelling: Thyrotoxic atrial fibrillation caseIn this work, we propose a new approach to predictive modelling of disease complications
Prediction of elastic modulus for polymer composites and their predictive estimation was provided using relevant models by Eshelby, nonlinear patterns of elastic de
ANALYSIS OF MOSCOW CARBON MONOXIDE AIR POLLUTION DATA AND PREDICTION OF FUTURE CHANGES regression model, made a prediction about future pollution. As a result of the work, it was found and assumed
Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium BatteriesIn this paper, an adaptive remaining useful life prediction model is proposed for electric
vehicle
Wind speed prediction performance based on modal decomposition method models, and to study which combined prediction model has higher accuracy. According to data research
Analysis of COVID-19 outbreak using GIS and SEIR model to the prediction of possible COVID-19 outbreak in India using SEIR (Susceptible—Exposed-Infectious-Recovered) model
Models describing the degradation of functional parameters of electronic devices based on the Weibull–Gnedenko distributionThe authors offer the possibility for obtaining the mathematical model of degradation of a
Predicting the matches entertainment on the example of the Russian premier league using machine learning methods and predictions application for sports broadcasts organization of the entertainment index for upcoming matches is predicted using a machine learning model based on historical data
Accuracy enhancement in land subsidence prediction using lightgbm and metaheuristic optimization strategies. However, existing models often struggle with limited predictive accuracy due to suboptimal
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