Introduction.- Advancements in the Application of Stochastic Systems in Environmental Sciences.- Aggregate production planning in a reverse logistics context considering random demand and service level.- Day of the Dead Before and After the Covid -19 Pandemic in Mixquic, Mexico City.- Machine learning and deep learning-based models applied in fundamental electrochemical devices.- Bilevel Approach for Discov ...Full description
Introduction.- Advancements in the Application of Stochastic Systems in Environmental Sciences.- Aggregate production planning in a reverse logistics context considering random demand and service level.- Day of the Dead Before and After the Covid -19 Pandemic in Mixquic, Mexico City.- Machine learning and deep learning-based models applied in fundamental electrochemical devices.- Bilevel Approach for Discovering Latent Variables in Bayesian Networks.- Design a novel algorithm for Fault Detection, Diagnosis, and Monitoring based on a Dedicated Observer Scheme and Multi-Objective Optimization of Bioethanol Production.- Risks in the Supply Chain of the Persian Lemon: Mexican Case.- Conclusion.