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
[HTML][HTML] Machine learning applications in biomass pyrolysis: from biorefinery to end-of-life product management
The thermochemical conversion of biomass is a promising technology due to its cost-
effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method …
effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method …
Tar formation in gasification systems: a holistic review of remediation approaches and removal methods
Gasification is an advanced thermochemical process that converts carbonaceous feedstock
into syngas, a mixture of hydrogen, carbon monoxide, and other gases. However, the …
into syngas, a mixture of hydrogen, carbon monoxide, and other gases. However, the …
Prediction of syngas properties of biomass steam gasification in fluidized bed based on machine learning method
P Xue, T Chen, X Huang, Q Hu, J Hu, H Zhang… - International Journal of …, 2024 - Elsevier
Steam gasification of biomass is a promising technology to produce hydrogen-rich syngas.
While the complex correlation between gasification process and syngas properties has not …
While the complex correlation between gasification process and syngas properties has not …
[HTML][HTML] Development of a neural network model predictive controller for the fluidized bed biomass gasification process
In this study, an advanced controller for the fluidized bed biomass gasification (FBG) process
is proposed. The controller is based on the model predictive control method, utilizing a long …
is proposed. The controller is based on the model predictive control method, utilizing a long …
Physics-informed dynamic mode decomposition for short-term and long-term prediction of gas-solid flows
Integration of physics principles with data-driven methods has attracted great attention in
recent few years. In this study, a physics-informed dynamic mode decomposition (piDMD) …
recent few years. In this study, a physics-informed dynamic mode decomposition (piDMD) …
A novel combined model for heat load prediction in district heating systems
Y Wang, Z Li, J Liu, Y Zhao, S Sun - Applied Thermal Engineering, 2023 - Elsevier
Accurate heat load prediction is essential for improving the operational efficiency of district
heating systems (DHSs). Numerous heat load prediction models have been proposed to …
heating systems (DHSs). Numerous heat load prediction models have been proposed to …
A data-driven method for fast predicting the long-term hydrodynamics of gas–solid flows: Optimized dynamic mode decomposition with control
Data-driven methods are of great interest in studying the hydrodynamics of gas–solid flows.
In this paper, we developed an optimized dynamic mode decomposition with control (DMDc) …
In this paper, we developed an optimized dynamic mode decomposition with control (DMDc) …
Long short-term memory and bidirectional long short-term memory modeling and prediction of hexavalent and total chromium removal capacity kinetics of Cupressus …
Hexavalent chromium [Cr (VI)] is a high-priority environmental pollutant because of its
toxicity and potential to contaminate water sources. Biosorption, using low-cost biomaterials …
toxicity and potential to contaminate water sources. Biosorption, using low-cost biomaterials …
A comparative assessment of CFD based LSTM and GRU for hydrodynamic predictions of gas-solid fluidized bed
Numerical simulation of large-scale fluidized beds presents significant challenges for both
scaling up the simulations and evaluating their performance, as full-scale computational …
scaling up the simulations and evaluating their performance, as full-scale computational …
Investigations into the flow dynamics of mixed biomass particles in a fluidized bed through Hilbert-Huang transformation and data-driven modelling
Flow dynamics of binary particles are investigated to realize the monitoring and optimization
of fluidized beds. It is a challenge to accurately classify the mass fraction of mixed biomass …
of fluidized beds. It is a challenge to accurately classify the mass fraction of mixed biomass …