Every year radiologists face an increasing demand of image-based diagnosis from patients, and computer-aided diagnosis (CAD) systems seem like a promising way to alleviate their workload. In recent years, many authors have ...

Till present, models that determined batch plants configurations in the chemical process industry resorted to models with binary variables to represent the different admissible options. This approach allowed representing ...

Dynamic reprogramming of gene regulatory networks (GRNs) enables organisms to rapidly respond to environmental perturbation. However, the underlying transient interactions between transcription factors (TFs) and genome-wide ...

This work addresses the dynamic optimisation of the cryogenic sector in a large-scale natural gas processing plant. Main attention is focused on rigorous dynamic modelling of countercurrent heat exchangers with phase change ...

This work aims to integrate the tactical and operational decision making levels. A typical Scheduling mixed integer linear programming (MILP) model has been solved using several demand scenarios. The results have been ...

Flux balance analysis (FBA) has been shown to be a very effective tool to interpret and predict the metabolism of various microorganisms when the set of available measurements is not sufficient to determine the fluxes ...

En la era de la digitalización, gran parte de las compañías cuentan con diversos canales para obtener feedback de sus clientes, por lo que analizarlo es de gran importancia para obtener ventajas competitivas, uno de los ...

Currently, there is a boom in introducing Machine Learning models to various aspects of everyday life. A relevant field consists of Natural Language Processing (NLP) that seeks to model human language. A key and basic ...