Multifunctional applications of bamboo crop beyond environmental management: an Indian prospective
Increasing population, industrialization, and economic growth cause several adverse
impacts on the existing environment and living being. Therefore, rising pollutants load and …
impacts on the existing environment and living being. Therefore, rising pollutants load and …
[HTML][HTML] Progress in thermodynamic simulation and system optimization of pyrolysis and gasification of biomass
Y Zhang, Y Ji, H Qian - Green Chemical Engineering, 2021 - Elsevier
Due to the shortage of fossil energy, biomass has a potential to be a very promising
alternative source. Unfortunately, a large part of biomass resources worldwide causes …
alternative source. Unfortunately, a large part of biomass resources worldwide causes …
[HTML][HTML] Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses–A comprehensive study of artificial neural network …
Higher heating value (HHV) is a key characteristic for the assessment and selection of
biomass feedstocks as a fuel source. The HHV is usually measured using an adiabatic …
biomass feedstocks as a fuel source. The HHV is usually measured using an adiabatic …
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
Machine learning application to predict the Mechanical properties of Glass Fiber mortar
In this study, the mechanical properties of glass fiber mortars have been predicted using
machine learning tools, Response Surface Methodology (RSM), and Artificial Neural …
machine learning tools, Response Surface Methodology (RSM), and Artificial Neural …
[HTML][HTML] RSM and ANN modelling of the mechanical properties of self-compacting concrete with silica fume and plastic waste as partial constituent replacement
Abstract In this study, Response Surface Methodology (RSM) and Artificial Neural Networks
(ANN) was used to predict the mechanical properties of self-compacting concrete (SCC) with …
(ANN) was used to predict the mechanical properties of self-compacting concrete (SCC) with …
Machine learning models for biomass energy content prediction: a correlation-based optimal feature selection approach
In this study, a multilinear regression (MLR) and three machine learning techniques, ie, an
adaptive neuro-fuzzy inference system (ANFIS), an artificial neural network (ANN), and a …
adaptive neuro-fuzzy inference system (ANFIS), an artificial neural network (ANN), and a …
Machine learning approach for the prediction of biomass pyrolysis kinetics from preliminary analysis
The pyrolytic behavior of lignocellulosic biomass is highly complex, and its kinetic behavior
varies with operating conditions and the type of biomass. To reduce timescales, cost and …
varies with operating conditions and the type of biomass. To reduce timescales, cost and …
Neurocomputing modelling of hydrochemical and physical properties of groundwater coupled with spatial clustering, GIS, and statistical techniques
Groundwater (GW) is a critical freshwater resource for billions of individuals worldwide.
Rapid anthropogenic exploitation has increasingly deteriorated GW quality and quantity …
Rapid anthropogenic exploitation has increasingly deteriorated GW quality and quantity …
[HTML][HTML] Prediction of energy content of biomass based on hybrid machine learning ensemble algorithm
In this study, three novel ensemble algorithms, namely, simple averaging, weighted
averaging, and meta-learning ensemble algorithms were employed to predict the higher …
averaging, and meta-learning ensemble algorithms were employed to predict the higher …