Ricardo Rendall - Concepedia

Author

Ricardo Rendall

University of Coimbra ORCID

Also Known As

Ricardo R. Rendall, Ricardo Rendall

Publications

779

Citations

H-Index

Concepts

All Affiliations

University of Coimbra Dow Chemical (United States)Freeport-McMoRan (United States)University of Trás-os-Montes and Alto Douro Dow Chemical (Netherlands)

About

Ricardo Rendall is an author at University of Coimbra specializing in engineering, statistics, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	13	591
2	Management	3	3	92
3	Business	1	1	27
4	Education	1	1	14
5	Medicine	1	1	13

Ricardo Rendall

Publications

725

Citations

H-Index

Page 1

	Year	Citations
Recent trends on hybrid modeling for Industry 4.0 Joel Sansana, Mark N. Joswiak, Iván Castillo, Computers & Chemical Engineering EngineeringRecent TrendsIndustrial EngineeringModel ProductionSystems Engineering	2021	258
Data-driven methods for batch data analysis – A critical overview and mapping on the complexity scale Ricardo Rendall, Leo H. Chiang, Marco S. Reis Computers & Chemical Engineering Data-driven OptimizationEngineeringData ScienceData MiningComputer Analysis	2019	73
A comparison of advanced regression techniques for predicting ship CO<sub>2</sub> emissions Antonio Lepore, Marco S. Reis, Biagio Palumbo, Quality and Reliability Engineering International EngineeringShip ManeuveringEnvironmental Impact AssessmentMarine EngineeringNaval Engineering	2017	38
Assessment and Prediction of Lubricant Oil Properties Using Infrared Spectroscopy and Advanced Predictive Analytics Carolina T. Pinheiro, Ricardo Rendall, Margarida J. Quina, Energy & Fuels EngineeringFluid PropertiesHydrodynamic LubricationAdvanced Predictive AnalyticsInfrared Spectroscopy	2016	36
A Unifying and Integrated Framework for Feature Oriented Analysis of Batch Processes Ricardo Rendall, Bo Lu, Iván Castillo, Industrial & Engineering Chemistry Research	2017	30
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 Ricardo Rendall, Ana C. Pereira, Marco S. Reis Talanta EngineeringData SciencePredictive AnalyticsManagementPredictive Modeling	2016	28
Challenges in the Specification and Integration of Measurement Uncertainty in the Development of Data-Driven Models for the Chemical Processing Industry Marco S. Reis, Ricardo Rendall, Swee-Teng Chin, Industrial & Engineering Chemistry Research EngineeringMeasurementIndustrial EngineeringSimulationUncertain Data	2015	27
Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC) Ricardo Rendall, Marco S. Reis Chemometrics and Intelligent Laboratory Systems Which Regression MethodEngineeringData ScienceDecision-makingInformed Decisions	2018	26
Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks Ricardo Rendall, Iván Castillo, Bo Lu, Chemometrics and Intelligent Laboratory Systems Image-based Manufacturing AnalyticsImage ClassificationDeep Neural NetworksImage AnalysisMachine Vision	2018	25
A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I—Assessing Detection Strength Tiago J. Rato, Ricardo Rendall, Véronique Gomes, Industrial & Engineering Chemistry Research	2016	24

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