Application of machine learning in anaerobic digestion: Perspectives and challenges
Anaerobic digestion (AD) is widely adopted for remediating diverse organic wastes with
simultaneous production of renewable energy and nutrient-rich digestate. AD process …
simultaneous production of renewable energy and nutrient-rich digestate. AD process …
Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …
Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review
A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …
environmental areas because of their great self-learning capability and good accuracy in …
A step forward in food science, technology and industry using artificial intelligence
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …
science play also a significant role in the world. So, food science, food technology, food …
A review of biochar properties and their roles in mitigating challenges with anaerobic digestion
Anaerobic digestion (AD) is an established organic waste management technology,
producing biogas and organic fertiliser as end-products. Despite being an established …
producing biogas and organic fertiliser as end-products. Despite being an established …
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 …
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 …
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 …
A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
L Ge, H Li, X Wang, Z Wang - Neurocomputing, 2023 - Elsevier
Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
Anaerobic co-digestion of food waste with pretreated yard waste: A comparative study of methane production, kinetic modeling and energy balance
Solid state anaerobic digestion of food waste (FW) with yard waste (YW) appears to be an
efficient technique for bioenergy production. However, the reluctant nature of YW and …
efficient technique for bioenergy production. However, the reluctant nature of YW and …