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Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …
applications of AI and ML based models are also reported for monitoring and design of …
[HTML][HTML] A critical review for the impact of anaerobic digestion on the sustainable development goals
Anaerobic Digestion (AD) technology emerges as a viable solution for managing municipal
organic waste, offering pollution reduction and the generation of biogas and fertilisers. This …
organic waste, offering pollution reduction and the generation of biogas and fertilisers. This …
Global biogeography and projection of soil antibiotic resistance genes
Although edaphic antibiotic resistance genes (ARGs) pose serious threats to human well-
being, their spatially explicit patterns and responses to environmental constraints at the …
being, their spatially explicit patterns and responses to environmental constraints at the …
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 …
Syntrophy mechanism, microbial population, and process optimization for volatile fatty acids metabolism in anaerobic digestion
The low efficiency and stability of anaerobic digestion (AD) has always hindered its wide
application. The accumulation of volatile fatty acids (VFAs) cause acidification and inhibition …
application. The accumulation of volatile fatty acids (VFAs) cause acidification and inhibition …
Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
H Guo, S Wu, Y Tian, J Zhang, H Liu - Bioresource technology, 2021 - Elsevier
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 …
Groundwater quality forecasting using machine learning algorithms for irrigation purposes
Using conventional methods to evaluate the irrigation water quality is usually expensive and
laborious for the farmers, particularly in develo** countries. However, the applications of …
laborious for the farmers, particularly in develo** countries. However, the applications of …
Innovation designs of industry 4.0 based solid waste management: Machinery and digital circular economy
Abstract The Industrial Revolution 4.0 (IR 4.0) holds the opportunity to improve the efficiency
of managing solid waste through digital and machinery applications, effectively eliminating …
of managing solid waste through digital and machinery applications, effectively eliminating …
The role of machine learning to boost the bioenergy and biofuels conversion
The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …
a significant role for the production of renewable and sustainable energy sources in the …
Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data
Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics
and to improve the digester performance. This is an essential yet difficult task due to the …
and to improve the digester performance. This is an essential yet difficult task due to the …