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Data-driven models of crude distillation units for production planning and for operations monitoring

Computers & chemical engineering, 2023-09, Vol.177, p.108322, Article 108322

2023

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Data-driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance

IET renewable power generation, 2020-10, Vol.14 (13), p.2386-2394

2020

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A framework of hybrid model development with identification of plant‐model mismatch

AIChE journal, 2020-10, Vol.66 (10), p.n/a

2020

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Data‐driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins

Biotechnology and bioengineering, 2023-09, Vol.120 (9), p.2494-2508

2023

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A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction

Water resources research, 2020-06, Vol.56 (6), p.n/a

2020

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Hybrid surrogate model combining physics and data for seismic drift estimation of shear‐wall structures

Earthquake engineering & structural dynamics, 2024-08, Vol.53 (10), p.3093-3112

2024

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Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

Journal of the Royal Society of New Zealand, 2021-04, Vol.51 (2), p.194-211

2021

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Extreme Events and Probability Analysis Along the United States East Coast Based on High Spatial‐Coverage Reconstructed Storm Surges

Geophysical research letters, 2023-06, Vol.50 (12), p.n/a

2023

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Global terrestrial nitrogen uptake and nitrogen use efficiency

The Journal of ecology, 2023-12, Vol.111 (12), p.2676-2693

2023

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Data-Driven Optimal Control for Municipal Solid Waste Incineration Process

IEEE transactions on industrial informatics, 2023-12, Vol.19 (12), p.1-10

2023

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Fatigue life prediction in presence of mean stresses using domain knowledge‐integrated ensemble of extreme learning machines

Fatigue & fracture of engineering materials & structures, 2022-09, Vol.45 (9), p.2748-2766

2022

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A Stepwise Clustered Hydrological Model for Addressing the Temporal Autocorrelation of Daily Streamflows in Irrigated Watersheds

Water resources research, 2022-02, Vol.58 (2), p.n/a

2022

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Symplectic model reduction methods for the Vlasov equation

Contributions to plasma physics (1988), 2023-06, Vol.63 (5-6), p.n/a

2023

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Control‐oriented estimation of the exchange current density in PEM fuel cells via stochastic filtering

International journal of energy research, 2022-12, Vol.46 (15), p.22516-22529

2022

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Modelling selenite and chemical oxygen demand removal in an inverse fluidized bed bioreactor using genetic algorithm optimized artificial neural network

Journal of chemical technology and biotechnology (1986), 2024-01, Vol.99 (1), p.247-258

2024

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Intercomparison of Deep Learning Architectures for the Prediction of Precipitation Fields With a Focus on Extremes

Water resources research, 2023-11, Vol.59 (11), p.n/a

2023

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Circular business strategy challenges and opportunities for Industry 4.0: A social media data‐driven analysis

Business strategy and the environment, 2023-05, Vol.32 (4), p.1765-1781

2023

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Data‐driven virtual sensing and dynamic strain estimation for fatigue analysis of offshore wind turbine using principal component analysis

Wind energy (Chichester, England), 2022-03, Vol.25 (3), p.505-516

2022

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Automatic data‐driven stoichiometry identification and kinetic modeling framework for homogeneous organic reactions

AIChE journal, 2022-07, Vol.68 (7), p.n/a

2022

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A data‐driven approach for flood prediction using grid‐based meteorological data

Hydrological processes, 2023-03, Vol.37 (3), p.n/a

2023

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A Spatially Enhanced Data‐Driven Multimodel to Improve Semiseasonal Groundwater Forecasts in the High Plains Aquifer, USA

Water resources research, 2019-07, Vol.55 (7), p.5941-5961

2019

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Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan

Hydrological processes, 2014-01, Vol.28 (3), p.1055-1070

2014

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Towards a digital twin: a hybrid data‐driven and mechanistic digital shadow to forecast the evolution of lignocellulosic fermentation

Biofuels, bioproducts and biorefining, 2020-09, Vol.14 (5), p.1046-1060

2020

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Knowledge-Data-Driven Model Predictive Control for a Class of Nonlinear Systems

IEEE transactions on systems, man, and cybernetics. Systems, 2021-07, Vol.51 (7), p.4492-4504

2021

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Data-driven models of crude distillation units for production planning and for operations monitoring

Data-driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance

A framework of hybrid model development with identification of plant‐model mismatch

New Data-Driven Estimation of Terrestrial CO2 Fluxes in Asia Using a Standardized Database of Eddy Covariance Measurements, Remote Sensing Data, and Support Vector Regression

Data‐driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins

A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction

Hybrid surrogate model combining physics and data for seismic drift estimation of shear‐wall structures

Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

Extreme Events and Probability Analysis Along the United States East Coast Based on High Spatial‐Coverage Reconstructed Storm Surges

Global terrestrial nitrogen uptake and nitrogen use efficiency

Data-Driven Optimal Control for Municipal Solid Waste Incineration Process

Fatigue life prediction in presence of mean stresses using domain knowledge‐integrated ensemble of extreme learning machines

A Stepwise Clustered Hydrological Model for Addressing the Temporal Autocorrelation of Daily Streamflows in Irrigated Watersheds

Symplectic model reduction methods for the Vlasov equation

Control‐oriented estimation of the exchange current density in PEM fuel cells via stochastic filtering

Modelling selenite and chemical oxygen demand removal in an inverse fluidized bed bioreactor using genetic algorithm optimized artificial neural network

Intercomparison of Deep Learning Architectures for the Prediction of Precipitation Fields With a Focus on Extremes

Circular business strategy challenges and opportunities for Industry 4.0: A social media data‐driven analysis

Data‐driven virtual sensing and dynamic strain estimation for fatigue analysis of offshore wind turbine using principal component analysis

Automatic data‐driven stoichiometry identification and kinetic modeling framework for homogeneous organic reactions

A data‐driven approach for flood prediction using grid‐based meteorological data

A Spatially Enhanced Data‐Driven Multimodel to Improve Semiseasonal Groundwater Forecasts in the High Plains Aquifer, USA

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan

Towards a digital twin: a hybrid data‐driven and mechanistic digital shadow to forecast the evolution of lignocellulosic fermentation

Knowledge-Data-Driven Model Predictive Control for a Class of Nonlinear Systems

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