Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …
Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae
Fucoxanthin is a carotenoid that possesses various beneficial medicinal properties for
human well-being. However, the current extraction technologies and quantification …
human well-being. However, the current extraction technologies and quantification …
Performance evaluation of ANFIS and RSM modeling in predicting biogas and methane yields from Arachis hypogea shells pretreated with size reduction
Abstract In this study, Response Surface Methodology (RSM) was used to examine the
effects of temperature, hydraulic retention time, and particle size of Arachis hypogea shell on …
effects of temperature, hydraulic retention time, and particle size of Arachis hypogea shell on …
[HTML][HTML] Comparison of RSM and ANFIS modeling techniques in corrosion inhibition studies of Aspilia Africana leaf extract on mild steel and aluminium metal in acidic …
In this work, the predictive capabilities of response surface methodology (RSM) and
adaptive neuro fuzzy inference systems (ANFIS) in modeling aluminum (Al) and mild steel …
adaptive neuro fuzzy inference systems (ANFIS) in modeling aluminum (Al) and mild steel …
Thermo-hydraulic performance optimization of a disk-shaped microchannel heat sink applying computational fluid dynamics, artificial neural network, and response …
The current research focuses on optimizing the Nusselt number (Nu) and pressure drop (ΔP)
in a bionic fractal heat sink. The artificial neural network (ANN) and response surface …
in a bionic fractal heat sink. The artificial neural network (ANN) and response surface …
Response surface methodology and artificial neural network-genetic algorithm for modeling and optimization of bioenergy production from biochar-improved …
Biochar can be used to improve the anaerobic digestion (AD) of agricultural wastes for
higher methane production. However, the interaction of biochar addition with other factors of …
higher methane production. However, the interaction of biochar addition with other factors of …
Experimental study on the effects of air blowing and irradiance intensity on the performance of photovoltaic modules, using Central Composite Design
Photovoltaic (PV) technology plays an important role in the progressing trend of using
renewable energies in the world. Yet the negative impact of a cell's temperature rise on its …
renewable energies in the world. Yet the negative impact of a cell's temperature rise on its …
A critical review of data science applications in resource recovery and carbon capture from organic waste
Municipal and agricultural organic waste can be treated to recover energy, nutrients, and
carbon through resource recovery and carbon capture (RRCC) technologies such as …
carbon through resource recovery and carbon capture (RRCC) technologies such as …
Effect of organic loading on anaerobic digestion of cow dung: Methane production and kinetic study
Organic loading influences the effectiveness of producing biogas through anaerobic
digestion. This study set out to investigate the effect of organic loading on the anaerobic …
digestion. This study set out to investigate the effect of organic loading on the anaerobic …
Modelling and optimization of thermophilic anaerobic digestion using biowaste
Biowaste generation is considerably increasing multiple times recently due to various social
and environmental changes like population growth, economic prosperity, globalisation etc …
and environmental changes like population growth, economic prosperity, globalisation etc …