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New Algorithm for Building Effective Model from Prediction Models Using Parallel DataBuilding much more effective new hybrid models from prediction models, using parallel data
Principles for Development of Predictive Stability Models of Social and Economic Systems on the basis of DTWThis paper presents the concept for the development of predictive models of social and economic
Industrial digital ecosystems: Predictive models and architecture development issues industries. The paper offers a concept of DES control system architecture based on predictive models
Predictability Assess of Multipath Phase Using ARIMA Model. We also compare prediction accuracy of the ARIMA that uses fixed model parameters versus accuracy
Predictive Analytics As Applied to Big DataThe phenomenon of big data has brought home the importance of predictive analytics
as a
Predicting the surface quality in discontinuous cuttingA method of predicting the quality of the machined surface in discontinuous cutting is proposed
Service Business Model - a New Approach to Improving Efficiency in the Digital Economy of predictive services, as the basis of the service model of a business, directions and prospects of its
Machine Learning Models in Predicting Hepatitis Survival Using Clinical Data (Extended Abstract)In this study on the prediction of survival in hepatitis patients, the Decision Tree proved
Prediction of influenza peaks in Russian cities: Comparing the accuracy of two seir models peak prediction in Russian cities. The first one is a continuous SEIR model described by a system
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
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