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A Nonlinear Support Vector Machine-Based Feature Selection Approach for Fault Detection and Diagnosis: Application to the Tennessee Eastman Process

scientific article published on 18 December 2018

A framework to predict the price of energy for the end-users with applications to monetary and energy policies

artículo científico publicado en 2019

A holistic framework for process safety and security analysis

artículo científico publicado en 2022

A new solution strategy for multiparametric quadratic programming

scientific article published in 2022

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms

scientific article published on 24 September 2020

Combining Genetic Circuit and Microbial Growth Kinetic Models: A Challenge for Biological Modelling

DOMINO: Data-driven Optimization of bi-level Mixed-Integer NOnlinear Problems

artículo científico publicado en 2020

Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization

scientific article published on 10 October 2019

Improving the prediction of Pseudomonas putida mt-2 growth kinetics with the use of a gene expression regulation model of the TOL plasmid

article

Integrated Data-Driven Process Monitoring and Explicit Fault-Tolerant Multiparametric Control

artículo científico publicado en 2019

Integrated Modeling of Transfer Learning and Intelligent Heuristic Optimization for Steam Cracking Process

artículo científico publicado en 2020

Linking genes to microbial growth kinetics: an integrated biochemical systems engineering approach

artículo científico publicado en 2011

Stem cell biomanufacturing under uncertainty: A case study in optimizing red blood cell production.

artículo científico publicado en 2017

The regulatory logic of m-xylene biodegradation by Pseudomonas putida mt-2 exposed by dynamic modelling of the principal node Ps/Pr of the TOL plasmid.

artículo científico publicado en 2010