Review of explainable machine learning for anaerobic digestion
Anaerobic digestion (AD) is a promising technology for recovering value-added resources
from organic waste, thus achieving sustainable waste management. The performance of AD …
from organic waste, thus achieving sustainable waste management. The performance of AD …
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 …
Predicting steady-state biogas production from waste using advanced machine learning-metaheuristic approaches
This research offers a fast and accurate method for measuring the biogas production rate
throughout biogas production. An agricultural biogas plant's measurement of eight process …
throughout biogas production. An agricultural biogas plant's measurement of eight process …
Plant-scale biogas production prediction based on multiple hybrid machine learning technique
The parameters from full-scale biogas plants are highly nonlinear and imbalanced, resulting
in low prediction accuracy when using traditional machine learning algorithms. In this study …
in low prediction accuracy when using traditional machine learning algorithms. In this study …
MachIne learning for nutrient recovery in the smart city circular economy–A review
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
significantly to economic growth, while becoming epicentres of waste generation …
[HTML][HTML] Opportunities and challenges of machine learning in bioprocesses: categorization from different perspectives and future direction
Recent advances in machine learning (ML) have revolutionized an extensive range of
research and industry fields by successfully addressing intricate problems that cannot be …
research and industry fields by successfully addressing intricate problems that cannot be …
Availability and the possibility of employing wastes and biomass materials energy in Jordan
The state of Jordan's energy independence is critical, with the country relying almost entirely
on imported oil and gas. Consequently, energy availability is considered to be the most …
on imported oil and gas. Consequently, energy availability is considered to be the most …
Innovative approach for predicting biogas production from large-scale anaerobic digester using long-short term memory (LSTM) coupled with genetic algorithm (GA)
An artificial neural network (ANN) model called long-short term memory (LSTM), coupled
with a genetic algorithm (GA) for feature selection, was used to predict biogas production of …
with a genetic algorithm (GA) for feature selection, was used to predict biogas production of …
Exploring available input variables for machine learning models to predict biogas production in industrial-scale biogas plants treating food waste
Anaerobic digestion (AD) of food waste (FW) has been widely used in China and shows
great potential in both recovering renewable energy and reducing carbon emissions …
great potential in both recovering renewable energy and reducing carbon emissions …
Production prediction modeling of food waste anaerobic digestion for resources saving based on SMOTE-LSTM
The global energy shortage and resource waste are becoming more and more prominent.
With the massive production of food waste, anaerobic digestion through food waste is a key …
With the massive production of food waste, anaerobic digestion through food waste is a key …