Marco S. Reis
Orcid: 0000-0002-4997-8865Affiliations:
- University of Coimbra, Portugal
According to our database1,
Marco S. Reis
authored at least 32 papers
between 2010 and 2023.
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Bibliography
2023
Persistence Landscapes - Implementing a Dataset Verification Method in Resource-Scarce Embedded Systems.
Comput., June, 2023
Comput. Chem. Eng., 2023
Robust optimization and data-driven modeling of tissue paper packing considering cargo deformation.
Comput. Ind. Eng., 2023
2022
Linear and Non-Linear Soft Sensors for Predicting the Research Octane Number (RON) through Integrated Synchronization, Resolution Selection and Modelling.
Sensors, 2022
0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems.
Sensors, 2022
Forecasting the research octane number in a Continuous Catalyst Regeneration (CCR) reformer.
Qual. Reliab. Eng. Int., 2022
Cluster analysis of crude oils with k-means based on their physicochemical properties.
Comput. Chem. Eng., 2022
Data-Driven Process System Engineering-Contributions to its consolidation following the path laid down by George Stephanopoulos.
Comput. Chem. Eng., 2022
Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms.
Proceedings of the American Control Conference, 2022
2021
A Spectral AutoML approach for industrial soft sensor development: Validation in an oil refinery plant.
Comput. Chem. Eng., 2021
PAT soft sensors for wide range prediction of key properties of diesel fuels and blending components for the oil industry.
Comput. Chem. Eng., 2021
Comput. Chem. Eng., 2021
2020
IEEE Trans Autom. Sci. Eng., 2020
Expert Syst. Appl., 2020
Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit.
Comput. Chem. Eng., 2020
2019
Comput. Chem. Eng., 2019
Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale.
Comput. Chem. Eng., 2019
Comput. Chem. Eng., 2019
SS-DAC: A systematic framework for selecting the best modeling approach and pre-processing for spectroscopic data.
Comput. Chem. Eng., 2019
2018
Proceedings of the 2018 Winter Simulation Conference, 2018
2017
Translation-Invariant Multiscale Energy-Based PCA for Monitoring Batch Processes in Semiconductor Manufacturing.
IEEE Trans Autom. Sci. Eng., 2017
A comparison of advanced regression techniques for predicting ship CO<sub>2</sub> emissions.
Qual. Reliab. Eng. Int., 2017
2016
Qual. Reliab. Eng. Int., 2016
2015
Qual. Reliab. Eng. Int., 2015
Identifying Strong Statistical Bias in the Local Structure of Metabolic Networks - The Metabolic Network of Saccharomyces Cerevisiae as a Test Case.
Proceedings of the BIOINFORMATICS 2015, 2015
2014
A Comparison Study of Single-Scale and Multiscale Approaches for Data-Driven and Model-Based Online Denoising.
Qual. Reliab. Eng. Int., 2014
Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods.
Comput. Chem. Eng., 2014
2012
Qual. Reliab. Eng. Int., 2012
A large-scale statistical process control approach for the monitoring of electronic devices assemblage.
Comput. Chem. Eng., 2012
2010
Statistical monitoring of control loops performance: an improved historical-data benchmark index.
Qual. Reliab. Eng. Int., 2010
Comput. Chem. Eng., 2010