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  Application of Machine Learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia 

  Rodríguez-Belenguer, Pablo; Kopańska, Karolina; Llopis Lorente, Jordi; Trénor Gomis, Beatriz Ana; Saiz Rodríguez, Francisco Javier; Pastor, Manuel (Universitat Politècnica de València, 2022-06-03)

  In cardiotoxicity studies it is common to pre-compute the values of different biomarkers (my equation or TX) for a range of ion channel blockades. Since every simulation requires costly computations, to complete the matrix ...
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  Considering Population Variability of Electrophysiological Models Improves the In Silico Assessment of Drug-Induced Torsadogenic Risk 

  Llopis Lorente, Jordi; Trénor Gomis, Beatriz Ana; Saiz Rodríguez, Francisco Javier (2022-05-13)

  This repository contains the parameter sets of the population of TorORd models and the the population of ORdmD models, the ORdmD CellML file and MALTAB code used in Llopis-Lorente, J., Trenor, B., Saiz, J. (2022). Considering ...
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  Synthetic input data generator for a MILP model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging 

  Guzmán Ortiz, Brunnel Eduardo; Andrés Navarro, Beatriz; Poler Escoto, Raúl (2021-09-14)

  The Python code generates synthetic input data. The dataset contains the input data to develop the experiments for the mathematical model (mixed integer linear programming model for lot-sizing and scheduling of automotive ...
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  MRPLotGIP 

  Poler Escoto, Raúl (2013)

  MRPLotGIP es una herramienta para el cálculo de un registro MRP periodificado mediante la aplicación de varias técnicas de lotificación: Lote a lote, EOQ, EPQ, Mínimo Coste Unitario, Mínimo Coste Total y Silver Meal.
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  PrevGIP 

  Poler Escoto, Raúl (2014)

  PrevGIP es una herramienta para la previsión de series temporales mensuales aplicando diferentes métodos de pronóstico basados en técnicas de descomposición, suavizado, intermitencia, etc.

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