Search Results - "Reis, Marco S"

Linear and Non-Linear Soft Sensors for Predicting the Research Octane Number (RON) through Integrated Synchronization, Resolution Selection and Modelling by Dias, Tiago, Oliveira, Rodolfo, Saraiva, Pedro M, Reis, Marco S

“…The Research Octane Number (RON) is a key quality parameter for gasoline, obtained offline through complex, time-consuming, and expensive standard methods…”
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Foreword to the Special Issue on “Data Science in Process Industries” by S. Reis, Marco, Haselgruber, Nikolaus

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Establishing the optimal blocks' order in SO‐PLS: Stepwise SO‐PLS and alternative formulations by P. Campos, Maria, Sousa, Ricardo, S. Reis, Marco

“…Methods capable of handling multiple blocks of data have increased in popularity both in industry and academia, namely, in the fields of chemistry, food and…”
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0-dimensional persistent homology analysis implementation in resource-scarce embedded systems by Branco, António Sérgio Antunes, Carvalho, João António Gonçalves Sousa Marques, Reis, Marco S., Lopes, Nuno V., Cabral, Jorge

“…Persistent Homology (PH) analysis is a powerful tool for understanding many relevant topological features from a given dataset. PH allows finding clusters,…”
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Sialic acids expression in newborn rat lungs: implications for pulmonary developmental biology by de Fátima Martins, Maria, Honório-Ferreira, Ana, S. Reis, Marco, Cortez-Vaz, Catarina, Gonçalves, Carlos Alberto

“…Mammalian lung development proceeds during the postnatal period and continues throughout life. Intricate tubular systems of airways and vessels lined by…”
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Persistence landscapes - implementing a dataset verification method in resource-scarce embedded systems by Branco, Sérgio, Dogruluk, Ertugrul, Carvalho, João António Gonçalves Sousa Marques, Reis, Marco S., Cabral, Jorge

“…The complete code is available at https://github.com/asergiobranco/mcu_homology (accessed on 25 April 2023). This code is part of an ongoing development…”
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Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives by Grangeia, Helena Bigares, Silva, Cláudia, Simões, Sérgio Paulo, Reis, Marco S.

“…[Display omitted] Quality by Design (QbD) was originated in the broad domain of Quality Management and was recently adapted and formalized in specific terms…”
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Assessing the value of information of data‐centric activities in the chemical processing industry 4.0 by Reis, Marco S., Kenett, Ron

“…The quality of information generated in data‐driven empirical studies is of central importance in Industry 4.0. However, despite the undeniable and widely…”
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Data-driven methods for batch data analysis – A critical overview and mapping on the complexity scale by Rendall, Ricardo, Chiang, Leo H., Reis, Marco S.

“…•A critical overview of batch data analysis (BDA) methods is provided.•BDA methods are mapped into the complexity scale.•Both modeling complexity (method's…”
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Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR) by Rato, Tiago J., Reis, Marco S.

“…Current multivariate control charts for monitoring large scale industrial processes are typically based on latent variable models, such as principal component…”
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Advantage of Using Decorrelated Residuals in Dynamic Principal Component Analysis for Monitoring Large-Scale Systems by Rato, Tiago J, Reis, Marco S

“…A new methodology is proposed for monitoring multi- and megavariate systems whose variables present significant levels of autocorrelation. The new monitoring…”
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Building Optimal Multiresolution Soft Sensors for Continuous Processes by Rato, Tiago J, Reis, Marco S

“…Data-driven models used in soft sensor applications are expected to capture the dominant relationships between the different process variables and the outputs,…”
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SS-DAC: A systematic framework for selecting the best modeling approach and pre-processing for spectroscopic data by Rato, Tiago J., Reis, Marco S.

“…Selecting the best combination of pre-processing and modeling methodologies is a critical activity while building soft sensors from spectroscopic Process…”
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Discussion of "Industrial statistics and manifold data" by Reis, Marco S.

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Multiresolution Soft Sensors: A New Class of Model Structures for Handling Multiresolution Data by Rato, Tiago J, Reis, Marco S

“…The key quality features of industrial processes are typically obtained offline with a considerable delay and by resort to expensive equipment. To avoid this…”
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Network-induced supervised learning: Network-induced classification (NI-C) and network-induced regression (NI-R) by Reis, Marco S.

“…Current supervised approaches, such as classification and regression methodologies, are strongly focused on optimizing estimation accuracy metrics, leaving the…”
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Markovian and Non-Markovian sensitivity enhancing transformations for process monitoring by Rato, Tiago J., Reis, Marco S.

“…•Process diagnosis requires causal information to be successful completed.•Current process monitoring methods are based on acausal models.•We propose a plug-in…”
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Advanced predictive methods for wine age prediction: Part I – A comparison study of single-block regression approaches based on variable selection, penalized regression, latent variables and tree-based ensemble methods by Rendall, Ricardo, Pereira, Ana Cristina, Reis, Marco S.

“…In this paper we test and compare advanced predictive approaches for estimating wine age in the context of the production of a high quality fortified wine –…”
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Sensor Fusion with Irregular Sampling and Varying Measurement Delays by Sansana, Joel, Rendall, Ricardo, Wang, Zhenyu, Chiang, Leo H, Reis, Marco S

“…In multisensor fusion, several sources of information are combined in order to increase the estimation quality for the quantity of interest. This activity…”
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Multi-target optimization of solid phase microextraction to analyse key flavour compounds in wort and beer by Vieira, Ana C., Pereira, Ana C., Marques, José C., Reis, Marco S.

“…•Adoption of an optimal experimental design protocol to HS-SPME procedure.•Multi-targeted and global methodologies for establishing the optimal…”
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