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Hybrid wheat prediction using genomic, pedigree, and environmental covariables interaction models
(Crop Science Society of America, 2019)
Hybrid modeling and predictive control for hydrometallurgical processes
(IEEE, 2014)
Model-based control strategies rely heavily on precise models to make accurate predictions. In mineral processing, particularly, due to complexities such as strong nonlinearities, variable coupling, time varying parameters, ...
Adaptive hybrid predictive control for a combined cycle power plant optimization
(JOHN WILEY & SONS LTD, 2008)
The design and development of an adaptive hybrid predictive controller for the optimization of a real combined cycle power plant (CCPP) are presented. The real plant is modeled as a hybrid system, i.e. logical conditions ...
Hybrid predictive control strategy for a public transport system with uncertain demand
(Taylor & Francis, 2012)
In this article, a hybrid predictive control (HPC) strategy is formulated for the real-time optimisation of a public transport system operation run using buses. For this problem, the hybrid predictive controller corresponds ...
Hybrid Models for the simulation and prediction of chromatographic processes for protein capture
(Elsevier Science, 2021-08)
The biopharmaceutical industries are continuously faced with the pressure to reduce the development costs and accelerate development time scales. The traditional approach of heuristic-based or platform process-based ...
Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19
Everywhere around the globe, the hot topic of discussion today is the ongoing and fast-spreading coronavirus disease (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARSCOV-2). Earlier ...
Potential use of molecular markers for prediction of genotypic values in hybrid maize performance
(Fundação de Pesquisas Científicas de Ribeirão Preto, 2019)
Real-time hybrid predictive modeling of the Teniente Converter
(ELSEVIER SCI LTD, 2010)
The Teniente Converter (TC) is air important technology for smelting and converting copper concentrates. Due to the complexities of its autogenous Operation, which combines continuous input flows with intermittent product ...