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] Pyrolysis of lignocellulosic, algal, plastic, and other biomass wastes for biofuel production and circular bioeconomy: A review of thermogravimetric analysis …
Fossil fuels are currently the most significant energy sources. They are expected to become
less available and more expensive, leading to a great demand for energy conservation and …
less available and more expensive, leading to a great demand for energy conservation and …
Applications of machine learning in thermochemical conversion of biomass-A review
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …
produce alternative renewable fuel sources for future energy supply. However, these …
Interpretable machine learning for predicting and evaluating hydrogen production via supercritical water gasification of biomass
Supercritical water gasification (SCWG) of biomass for hydrogen production is a clean and
promising technology. However, due to many factors involved in SCWG process, including …
promising technology. However, due to many factors involved in SCWG process, including …
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction
Modelling and forecasting the stock price constitute an important area of financial research
for both academics and practitioners. This study seeks to determine whether improvements …
for both academics and practitioners. This study seeks to determine whether improvements …
Bioresource upgrade for sustainable energy, environment, and biomedicine
We conceptualize bioresource upgrade for sustainable energy, environment, and
biomedicine with a focus on circular economy, sustainability, and carbon neutrality using …
biomedicine with a focus on circular economy, sustainability, and carbon neutrality using …
A comparative study of machine learning methods for bio-oil yield prediction–a genetic algorithm-based features selection
A novel genetic algorithm-based feature selection approach is incorporated and based on
these features, four different ML methods were investigated. According to the findings, ML …
these features, four different ML methods were investigated. According to the findings, ML …
A comprehensive study on estimating higher heating value of biomass from proximate and ultimate analysis with machine learning approaches
Higher heating value (HHV) is an important parameter for design and operation of biomass-
fueled energy systems. Experimental approach is always time-consuming and expensive for …
fueled energy systems. Experimental approach is always time-consuming and expensive for …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …
scale applications of biomass‐based energy products are limited due to challenges related …
Predicting co-pyrolysis of coal and biomass using machine learning approaches
Coal and biomass co-thermochemical conversion has caught significant attentions, in which
the co-pyrolysis is always the primary process. The traditional pyrolysis kinetic models are …
the co-pyrolysis is always the primary process. The traditional pyrolysis kinetic models are …
MFiX based multi-scale CFD simulations of biomass fast pyrolysis: A review
Multi-scale computational fluid dynamics (CFD) simulation bridges the gaps between
particle and reactor scales in the modeling of biomass pyrolysis. Its accuracy depends on …
particle and reactor scales in the modeling of biomass pyrolysis. Its accuracy depends on …