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Accelerating Global Sensitivity Analysis via Supervised Machine Learning Tools: Case Studies for Mineral Processing Models

Minerals (Basel), 2022-06, Vol.12 (6), p.750

Lucay, Freddy A.

2022

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Reducing the Dimensions of the Stochastic Programming Problems of Metallurgical Design Procedures

Minerals (Basel), 2021-12, Vol.11 (12), p.1302

Lucay, Freddy A.

2021

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Ultrafine Kaolinite Removal in Recycled Water from the Overflow of Thickener Using Electroflotation: A Novel Application of Saline Water Splitting in Mineral Processing

Molecules (Basel, Switzerland), 2023-05, Vol.28 (9), p.3954

2023

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Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

Minerals (Basel), 2020-01, Vol.10 (1), p.22

2020

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Editorial for Special Issue “Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing, Volume II”

Minerals (Basel), 2022-10, Vol.12 (10), p.1309

2022

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Integration of Lineal Geostatistical Analysis and Computational Intelligence to Evaluate the Batch Grinding Kinetics

Minerals (Basel), 2022-07, Vol.12 (7), p.823

2022

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Experimental Uncertainty Analysis for the Particle Size Distribution for Better Understanding of Batch Grinding Process

Minerals (Basel), 2021-08, Vol.11 (8), p.862

2021

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Control Structure Design Using Global Sensitivity Analysis for Mineral Processes under Uncertainties

Minerals (Basel), 2022-06, Vol.12 (6), p.736

2022

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Design of Flotation Circuits Using Tabu-Search Algorithms: Multispecies, Equipment Design, and Profitability Parameters

Minerals (Basel), 2019-03, Vol.9 (3), p.181

2019

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Response Surface Methodology for Copper Flotation Optimization in Saline Systems

Minerals (Basel), 2022-09, Vol.12 (9), p.1131

2022

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Toward the Operability of Flotation Systems under Uncertainty

Minerals (Basel), 2021-06, Vol.11 (6), p.646

2021

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A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

Minerals (Basel), 2018-02, Vol.8 (2), p.44

2018

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Applying a multi-objective optimization approach in designing water supply systems for mining industries. The case of Chile

Journal of cleaner production, 2019-02, Vol.210, p.994-1004

2019

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Design of Desalinated Water Distribution Networks: Complex Topography, Energy Production, and Parallel Pipelines

Industrial & engineering chemistry research, 2018-08, Vol.57 (30), p.9879-9888

2018

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A quasi-review of conceptual flotation design methods based on computational optimization

Minerals engineering, 2018-03, Vol.117, p.24-33

2018

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Modeling of the Complex Behavior through an Improved Response Surface Methodology

Mineral processing and extractive metallurgy review, 2021-07, Vol.42 (5), p.285-311

2021

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Modeling the effect of air flow, impeller speed, frother dosages, and salt concentrations on the bubbles size using response surface methodology

Minerals engineering, 2019-03, Vol.132, p.142-148

2019

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Assessment of the Supply Chain under Uncertainty: The Case of Lithium

Minerals (Basel), 2020-07, Vol.10 (7), p.604

2020

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Influence of epistemic uncertainty in the selection of flowsheet structures

Computer Aided Chemical Engineering, 2018, Vol.44, p.199-204

2018

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Benchmarking of metaheuristic algorithms to design flotation circuits to full scale

Minerals engineering, 2021-08, Vol.170, p.107056, Article 107056

2021

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An LS-SVM classifier based methodology for avoiding unwanted responses in processes under uncertainties

Computers & chemical engineering, 2020-07, Vol.138, p.106860, Article 106860

2020

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Development of a grinding model based on flotation performance

Minerals engineering, 2021-06, Vol.166, p.106890, Article 106890

2021

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Improving milling operation using uncertainty and global sensitivity analyses

Minerals engineering, 2019-01, Vol.131, p.249-261

2019

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The effect of regrinding on the design of flotation circuits

Minerals engineering, 2020-09, Vol.156, p.106524, Article 106524

2020

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Corrigendum to “Applying a multi-objective optimization approach in designing water supply systems for mining industries. The case of Chile” [J. Clean. Prod. 210 (2019) 994–1004]

Journal of cleaner production, 2019-09, Vol.232, p.1531-1531

2019

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Accelerating Global Sensitivity Analysis via Supervised Machine Learning Tools: Case Studies for Mineral Processing Models

Reducing the Dimensions of the Stochastic Programming Problems of Metallurgical Design Procedures

Ultrafine Kaolinite Removal in Recycled Water from the Overflow of Thickener Using Electroflotation: A Novel Application of Saline Water Splitting in Mineral Processing

Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

Editorial for Special Issue “Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing, Volume II”

Integration of Lineal Geostatistical Analysis and Computational Intelligence to Evaluate the Batch Grinding Kinetics

Experimental Uncertainty Analysis for the Particle Size Distribution for Better Understanding of Batch Grinding Process

Control Structure Design Using Global Sensitivity Analysis for Mineral Processes under Uncertainties

Design of Flotation Circuits Using Tabu-Search Algorithms: Multispecies, Equipment Design, and Profitability Parameters

Response Surface Methodology for Copper Flotation Optimization in Saline Systems

Toward the Operability of Flotation Systems under Uncertainty

A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

Applying a multi-objective optimization approach in designing water supply systems for mining industries. The case of Chile

Design of Desalinated Water Distribution Networks: Complex Topography, Energy Production, and Parallel Pipelines

A quasi-review of conceptual flotation design methods based on computational optimization

Modeling of the Complex Behavior through an Improved Response Surface Methodology

Modeling the effect of air flow, impeller speed, frother dosages, and salt concentrations on the bubbles size using response surface methodology

Assessment of the Supply Chain under Uncertainty: The Case of Lithium

Influence of epistemic uncertainty in the selection of flowsheet structures

Benchmarking of metaheuristic algorithms to design flotation circuits to full scale

An LS-SVM classifier based methodology for avoiding unwanted responses in processes under uncertainties

Development of a grinding model based on flotation performance

Improving milling operation using uncertainty and global sensitivity analyses

The effect of regrinding on the design of flotation circuits

Corrigendum to “Applying a multi-objective optimization approach in designing water supply systems for mining industries. The case of Chile” [J. Clean. Prod. 210 (2019) 994–1004]

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