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C

Carine Menezes Rebello

norwegian university of science and technology

14H指数
58论文数
429被引数
收录论文 21
发表时间
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Process flowsheet optimization integrating mixed-integer programming and surrogate models with adaptive uncertainty混合整数规划与自适应不确定性代理模型集成的工艺流程图优化
errChemical Engineering Science
IF4.3
err2026-08-24
err0
PREAI
errIbrahim Mert Kahraman; Carine Menezes Rebello; Idelfonso B.R. Nogueira; M. Enis Leblebici; Hasan Sildir
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err收藏
Water Consumption in Hydrogen Production Through Electrolysis: Overview, State-of-the-Art, and Future Trends通过电解生产氢气的水消耗：概述、最新进展和未来趋势
errWIREs Energy and Environment
IF14.6
err2026-05-22
err0
errOAAI
errAntonio Santos Sánchez; Gleizer Vitor Nonato; André Luis Silva; Idelfonso Bessa dos Reis Nogueira; Carine Menezes Rebello; Diego Lima Medeiros; Julian David Hunt
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Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach使用数据驱动模型的无偏移Lyapunov稳定鲁棒非线性控制: 一种非线性多模型计算有效方法
errControl Engineering Practice
IF4.6
err2026-04-23
err0
PREAI
errCarine Menezes Rebello; Erbet Almeida Costa; Idelfonso B.R. Nogueira
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An Agent-Based Modeling Dynamic Hybrid Model for Project Management in Research and Development基于代理建模的动态混合模型在研发项目管理中的应用
errIndustrial & Engineering Chemistry Research
IF0
err2026-02-26
err0
errOAAI
errRobson Wilson Silva Pessoa; Marie Hahn Naess; Julia Carolina Bijos; Carine Menezes Rebello; Danilo Colombo; Leizer Schnitman; Idelfonso B. R. Nogueira
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The relationship between diffusion coefficient and ion conductivity in solid-state electrolytes using feedforward neural networks and symbolic regression固态电解质中扩散系数与离子电导率关系的研究：基于前馈神经网络和符号回归方法
errJournal of Power Sources
IF7.9
err2025-08-14
err0
PREAI
errIgor Gabriel Ito Iwakiri; João Vítor M.A. Silva; Nuno M. Delgado; Fernando Arrais R.D. Lima; Carine Menezes Rebello; Maurício B. de Souza Jr.; Idelfonso B.R. Nogueira
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Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization可解释且具有不确定性感知能力的机器学习在批量结晶中的可信预测
errchemical engineering and processing process intensification
IF0
err2025-05-19
err0
PREAI
errFernando Arrais R.D. Lima; Marcellus G.F. de Moraes; Carine Menezes Rebello; Amaro G. Barreto; Argimiro R. Secchi; Maurício B. de Souza; Idelfonso B.R. Nogueira
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Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype
errINDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
IF3.9
err2024-10-25
err0
errOAAI
errRebello, Carine Menezes; Costa, Erbet Almeida; Fontana, Marcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.
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Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making
errSEPARATION AND PURIFICATION TECHNOLOGY
IF9
err2024-07-01
err6
PREAI
errRebello, Carine Menezes; Nogueira, Idelfonso B. R.
err分享
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Harnessing graph neural networks to craft fragrances based on consumer feedback基于消费者反馈利用图神经网络制作香水
errCOMPUTERS & CHEMICAL ENGINEERING
IF3.9
err2024-06-01
err3
errOAAI
errRodrigues, Bruno C. L.; Santana, Vinicius V.; Queiroz, Luana P.; Rebello, Carine M.; Nogueira, Idelfonso B. R.
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Augmented reality for chemical engineering education化学工程教育的增强现实
errEDUCATION FOR CHEMICAL ENGINEERS
IF2.3
err2024-04-01
err2
errOAAI
errRebello, Carine Menezes; Deiro, Gabriela Fontes; Knuutila, Hanna K.; de Souza Moreira, Lorena Claudia; Nogueira, Idelfonso B. R.
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PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction
errCHEMICAL ENGINEERING SCIENCE
IF4.3
err2024-03-01
err4
errOAAI
errSantana, Vinicius Viena; Rebello, Carine Menezes; Queiroz, Luana P.; Ribeiro, Ana Mafalda; Shardt, Nadia; Nogueira, Idelfonso B. R.
err分享
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An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network
errHELIYON
IF3.6
err2024-01-01
err4
errOAAI
errCosta, Erbet Almeida; Rebello, Carine de Menezes; Santana, Vinicius Viena; Reges, Galdir; Silva, Tiago de Oliveira; de Abreu, Odilon Santana Luiz; Ribeiro, Marcos Pellegrini; Foresti, Bernardo Pereira; Fontana, Marcio; Nogueira, Idelfonso Bessa dos Reis; Schnitman, Leizer
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Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach非线性对流-扩散-吸附系统的高效混合建模和吸附模型发现: 一种系统的科学机器学习方法
errCHEMICAL ENGINEERING SCIENCE
IF4.3
err2023-12-01
err5
errOAAI
errSantana, Vinicius V.; Costa, Erbet; Rebello, Carine M.; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.
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Improved modeling of crystallization processes by Universal Differential Equations
errCHEMICAL ENGINEERING RESEARCH & DESIGN
IF3.9
err2023-12-01
err6
PREAI
errLima, Fernando Arrais R. D.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; de Moares, Marcellus G. F.; Barreto Jr, Amaro G.; Secchi, Argimiro R.; de Souza Jr, Mauricio B.; Nogueira, Idelfonso B. R.
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Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis
errINDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
IF3.9
err2023-10-04
err2
errOAAI
errSantos, Rodrigo V. A.; Rebello, Carine; Prudente, Anderson; Santana, Vinicius V.; Ferreira, Alexandre F. P.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.
err分享
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Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements
errINDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
IF3.9
err2023-05-30
err10
errOAAI
errQueiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; Rodrigues, Bruno C. L.; Rodrigues, Alirio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.
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Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps
errACS OMEGA
IF4.3
err2023-05-23
err1
errOAAI
errSilva, Beatriz C.; Rebello, Carine Menezes; Rodrigues, Aliïrio E.; Ribeiro, Ana M.; Ferreira, Alexandre F. P.; Nogueira, Idelfonso B. R.
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Generating Flavor Molecules Using Scientific Machine Learning使用科学机器学习生成风味分子
errACS OMEGA
IF4.3
err2023-03-15
err8
errOAAI
errQueiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; Rodrigues, Bruno C. L.; Rodrigues, Alirio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.
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A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization
errCHEMICAL ENGINEERING RESEARCH & DESIGN
IF3.9
err2022-04-01
err12
errOAAI
errNogueira, Idelfonso B. R.; Dias, Rafael O. M.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; Rodrigues, Alirio E.; Ferreira, Alexandre; Ribeiro, Ana M.
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A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region mapping
errCHEMICAL ENGINEERING RESEARCH & DESIGN
IF3.9
err2022-02-01
err16
PREAI
errRebello, Carine M.; Martins, Marcio A. F.; Rodrigues, Alirio E.; Loureiro, Jose M.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.
err分享
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研究方向

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合作学者
合作期刊
A
Alírio E. Rodrigues‬
H 指数: 100 · 论文数: 1.1K
J
José M. Loureiro
H 指数: 49 · 论文数: 241
A
Ana M. Ribeiro
H 指数: 41 · 论文数: 220
A
Alexandre Ferreira
H 指数: 38 · 论文数: 158
J
Julian David Hunt
H 指数: 33 · 论文数: 190
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