Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Recent trends on hybrid modeling for Industry 4.0
The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …
control, diagnosis, optimization, and design, especially since the third industrial revolution …
A hybrid science‐guided machine learning approach for modeling chemical processes: A review
This study presents a broad perspective of hybrid process modeling combining the scientific
knowledge and data analytics in bioprocessing and chemical engineering with a science …
knowledge and data analytics in bioprocessing and chemical engineering with a science …
Machine learning‐based predictive control of nonlinear processes. Part I: theory
This article focuses on the design of model predictive control (MPC) systems for nonlinear
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
Hybrid semi-parametric modeling in process systems engineering: Past, present and future
Hybrid semi-parametric models consist of model structures that combine parametric and
nonparametric submodels based on different knowledge sources. The development of a …
nonparametric submodels based on different knowledge sources. The development of a …
Recurrent neural network-based model predictive control for continuous pharmaceutical manufacturing
The pharmaceutical industry has witnessed exponential growth in transforming operations
towards continuous manufacturing to increase profitability, reduce waste and extend product …
towards continuous manufacturing to increase profitability, reduce waste and extend product …
Hybrid modeling in the era of smart manufacturing
Smart manufacturing (SM) is a new paradigm that allows manufacturing to enter its fourth
revolution by exploiting state-of-the art sensing, communication and computation as the …
revolution by exploiting state-of-the art sensing, communication and computation as the …
A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins
Due to the lack of complete understanding of metabolic networks and reaction pathways,
establishing a universal mechanistic model for mammalian cell culture processes remains a …
establishing a universal mechanistic model for mammalian cell culture processes remains a …
A review of modeling of diffusion controlled polymerization reactions
A plethora of models have been developed quantifying the effect of diffusion‐controlled
phenomena on polymerization reactions. The most prominent approaches are reviewed …
phenomena on polymerization reactions. The most prominent approaches are reviewed …
Hybrid residual modelling of biomass pyrolysis
Predicting biochar yield and heating value poses a great challenge due to the complexity of
the biomass pyrolysis process. Here, we propose a hybrid residual (HR) modelling …
the biomass pyrolysis process. Here, we propose a hybrid residual (HR) modelling …
Hybrid modeling of first-principles and machine learning: A step-by-step tutorial review for practical implementation
In recent years, the integration of mechanistic process models with advanced machine
learning techniques has led to the development of hybrid models, which have shown …
learning techniques has led to the development of hybrid models, which have shown …