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Class3Dp

Carbonell Rivera, Juan Pedro; Ruiz Fernández, Luis Ángel; Estornell Cremades, Javier (2023-06-01)

Class3Dp is a software tool developed for supervised classification of photogrammetric point clouds. It allows the selection of training samples and classification of point clouds according to different features and machine ...
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 ...
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 ...
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 ...
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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