Search Results - "Reis, Marco"

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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NAC domain-containing protein, GmNAC6, is a downstream component of the ER stress- and osmotic stress-induced NRP-mediated cell-death signaling pathway by Faria, Jerusa A.Q.A, Reis, Pedro A.B, Reis, Marco T.B, Rosado, Gustavo L, Pinheiro, Guilherme L, Mendes, Giselle C, Fontes, Elizabeth P.B

“…Background The endoplasmic reticulum (ER) is a major signaling organelle, which integrates a variety of responses against physiological stresses. In plants,…”
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An interpretable unsupervised Bayesian network model for fault detection and diagnosis by Yang, Wei-Ting, Reis, Marco S., Borodin, Valeria, Juge, Michel, Roussy, Agnès

“…Process monitoring is a critical activity in manufacturing industries. A wide variety of data-driven approaches have been developed and employed for fault…”
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A physics-informed Run-to-Run control framework for semiconductor manufacturing by Yang, Wei-Ting, Blue, Jakey, Roussy, Agnès, Pinaton, Jacques, Reis, Marco S.

“…•A new R2R control framework based on Dynamic Bayesian Network is proposed.•Physic-informed DBN is constructed based on equipment sensor data and prior…”
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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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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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A Structure Data-Driven Framework for Virtual Metrology Modeling by Yang, Wei-Ting, Blue, Jakey, Roussy, Agnes, Pinaton, Jacques, Reis, Marco S.

“…Virtual metrology (VM) has been widely studied in the semiconductor industry with the purpose of decreasing the cycle time and reducing the expensive metrology…”
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Type II Odontoid Fractures: Is the Anterior Screw a Good Solution for all Patients? A Case Series of 60 Consecutive Patients by Dantas, Fernando Luiz Rolemberg, Dantas, François, Cariri, Gustavo Agra, Caires, Antônio Carlos Vieira, Reis, Marco Túlio Domingos Silva e, Botelho, Ricardo Vieira

“…Type II odontoid fracture is the most common fracture type, and its treatment remains challenging. The objective of this study was to evaluate the results of…”
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A comparison of advanced regression techniques for predicting ship CO2 emissions by Lepore, Antonio, Reis, Marco Seabra, Palumbo, Biagio, Rendall, Ricardo, Capezza, Christian

“…The new EU Regulation urges shipping operators to set up systems for the monitoring, reporting, and verification of CO2 emissions. Indeed, new monitoring data…”
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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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