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 …
A review on machine learning application in biodiesel production studies
Y Xing, Z Zheng, Y Sun… - International Journal of …, 2021 - Wiley Online Library
The consumption of fossil fuels has exponentially increased in recent decades, despite
significant air pollution, environmental deterioration challenges, health problems, and …
significant air pollution, environmental deterioration challenges, health problems, and …
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 …
Artificial neural network modeling of biochar enhanced anaerobic sewage sludge digestion
NH Khashaba, RS Ettouney, MM Abdelaal… - Journal of …, 2022 - Elsevier
Despite the considerable amount of data generated with respect to biochar application in the
anaerobic digestion of sewage sludge, there is a research gap for correlations linking …
anaerobic digestion of sewage sludge, there is a research gap for correlations linking …
Decoding anaerobic digestion: a holistic analysis of biomass waste technology, process kinetics, and operational variables
The continual generation and discharge of waste are currently considered two of the main
environmental problems worldwide. There are several waste management options that can …
environmental problems worldwide. There are several waste management options that can …
Optimizing biogas production from palm oil mill effluent utilizing integrated machine learning and response surface methodology framework
VWG Tan, YJ Chan, SK Arumugasamy… - Journal of Cleaner …, 2023 - Elsevier
This study presents a novel approach to optimize the anaerobic digestion of palm oil mill
effluent (POME) for maximum biogas production on an industrial scale. Unlike most …
effluent (POME) for maximum biogas production on an industrial scale. Unlike most …
Machine learning applications for biochar studies: A mini-review
Biochar is a promising carbon sink whose application can assist in reducing carbon
emissions. Development of this technology currently relies on experimental trials, which are …
emissions. Development of this technology currently relies on experimental trials, which are …
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 …
Optimization and prediction of biogas yield from pretreated Ulva Intestinalis Linnaeus applying statistical-based regression approach and machine learning algorithms
A statistical-based regression approach and machine learning (ML) algorithms (response
surface methodology (RSM), feed-forward backpropagation artificial neural network (ANN) …
surface methodology (RSM), feed-forward backpropagation artificial neural network (ANN) …
[HTML][HTML] Energy-agriculture nexus: Exploring the future of artificial intelligence applications
Energy and agriculture are two independent sectors that share a mutual coexistence
referred to as the energy-agriculture nexus. In an attempt to facilitate the capacity of this …
referred to as the energy-agriculture nexus. In an attempt to facilitate the capacity of this …