Pages that link to "Item:Q2673826"
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The following pages link to Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec (Q2673826):
Displaying 12 items.
- Learning COVID-19 mitigation strategies using reinforcement learning (Q2089595) (← links)
- Dynamic causality interplay from COVID-19 pandemic to oil price, stock market, and economic policy uncertainty: evidence from oil-importing and oil-exporting countries (Q2150845) (← links)
- A robust multi-objective model for managing the distribution of perishable products within a green closed-loop supply chain (Q2165770) (← links)
- The evolution mechanism of the multi-value chain network ecosystem supported by the third-party platform (Q2171081) (← links)
- An effective scheduling method to single-arm cluster tools for processing multiple wafer types (Q2691392) (← links)
- Viable healthcare supply chain network design for a pandemic (Q6179167) (← links)
- EEG signal classification via pinball universum twin support vector machine (Q6179181) (← links)
- A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty (Q6179182) (← links)
- A multi-objective location-routing model for dental waste considering environmental factors (Q6179195) (← links)
- Minimizing patients total clinical condition deterioration in operating theatre departments (Q6179202) (← links)
- Resilient and social health service network design to reduce the effect of COVID-19 outbreak (Q6179207) (← links)
- An extended robust mathematical model to project the course of COVID-19 epidemic in Iran (Q6601548) (← links)
