B. C. Trindade - Concepedia

Author

B. C. Trindade

Cornell University ORCID

Also Known As

B. C. Trindade, B.C. Trindade, Bernardo C. Trindade, Bernardo Carvalho Trindade, Bianca Caroline Gouvêa Trindade

Publications

338

Citations

H-Index

Concepts

All Affiliations

Cornell University University of North Carolina at Chapel Hill

About

B. C. Trindade is an author at Cornell University specializing in engineering, water resources, and systems engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	311
2	Civil Engineering	2	2	78
3	Management	1	1	91
4	Medicine	1	1	21
5	Public Health	1	1	21

B. C. Trindade

Publications

332

Citations

H-Index

Page 1

	Year	Citations
Reducing regional drought vulnerabilities and multi-city robustness conflicts using many-objective optimization under deep uncertainty B. C. Trindade, Patrick M. Reed, Jonathan D. Herman, Advances in Water Resources Many-objective OptimizationEngineeringData ScienceDroughtUncertainty Quantification	2017	91
Deeply uncertain pathways: Integrated multi-city regional water supply infrastructure investment and portfolio management B. C. Trindade, Patrick M. Reed, Gregory W. Characklis Advances in Water Resources Deeply Uncertain PathwaysWater PolicyEngineeringWater ResourcesWater Reallocation	2019	81
Identifying Actionable Compromises: Navigating Multi‐City Robustness Conflicts to Discover Cooperative Safe Operating Spaces for Regional Water Supply Portfolios David Gold, Patrick M. Reed, B. C. Trindade, Water Resources Research Modest DeviationsPublic PolicyWater PolicyEngineeringWater Resources	2019	61
Water pathways: An open source stochastic simulation system for integrated water supply portfolio management and infrastructure investment planning B. C. Trindade, David Gold, Patrick M. Reed, Environmental Modelling & Software Stochastic SimulationEngineeringWater ResourcesWater PathwaysEnvironmental Engineering	2020	46
Modeling of Water Pipeline Filling Events Accounting for Air Phase Interactions B. C. Trindade, José G. Vasconcelos Journal of Hydraulic Engineering Air PressurizationEngineeringWater ResourcesHydraulicsCivil Engineering	2013	32
Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes Luiz Sérgio Fernandes de Carvalho, Silvio Gioppato, Marta Duran Fernandez, Value in Health Machine LearningDisease ClassificationHigher MorbidityAi HealthcarePublic Health	2020	21

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