Probabilistic Boolean network modeling of an industrial machine
PJ Rivera Torres, EI Serrano Mercado… - Journal of Intelligent …, 2018 - Springer
Theoretical modeling of manufacturing processes assists the design of new systems for
predictions of future behavior, identifies improvement areas, and evaluates changes to …
predictions of future behavior, identifies improvement areas, and evaluates changes to …
Modeling preventive maintenance of manufacturing processes with probabilistic Boolean networks with interventions
PJ Rivera Torres, EI Serrano Mercado… - Journal of Intelligent …, 2018 - Springer
Recent developments in intelligent manufacturing have validated the use of probabilistic
Boolean networks (PBN) to model failures in manufacturing processes and as part of a …
Boolean networks (PBN) to model failures in manufacturing processes and as part of a …
Probabilistic Boolean network modeling and model checking as an approach for DFMEA for manufacturing systems
PJ Rivera Torres, EI Serrano Mercado… - Journal of Intelligent …, 2018 - Springer
Modeling manufacturing processes assists the design of new systems, allowing predictions
of future behaviors, identifying improvement areas and evaluating changes to existing …
of future behaviors, identifying improvement areas and evaluating changes to existing …
Electrodeposition of superhydrophobic Cu film on active substrate from deep eutectic solvent
A hierarchical rough Cu film constructed by nanosheet-like clusters is electrodeposited on
Fe and Mg alloy substrates from a deep eutectic solvent based electrolyte containing CuCl 2 …
Fe and Mg alloy substrates from a deep eutectic solvent based electrolyte containing CuCl 2 …
Reinforcement learning with probabilistic boolean network models of smart grid devices
The area of smart power grids needs to constantly improve its efficiency and resilience, to
provide high quality electrical power in a resilient grid, while managing faults and avoiding …
provide high quality electrical power in a resilient grid, while managing faults and avoiding …
Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
PJR Torres, CG García, SK Izquierdo - arxiv preprint arxiv:2102.01297, 2021 - arxiv.org
The area of Smart Power Grids needs to constantly improve its efficiency and resilience, to
pro-vide high quality electrical power, in a resistant grid, managing faults and avoiding …
pro-vide high quality electrical power, in a resistant grid, managing faults and avoiding …