Artificial intelligence for waste management in smart cities: a review
B Fang, J Yu, Z Chen, AI Osman, M Farghali… - Environmental …, 2023 - Springer
The rising amount of waste generated worldwide is inducing issues of pollution, waste
management, and recycling, calling for new strategies to improve the waste ecosystem, such …
management, and recycling, calling for new strategies to improve the waste ecosystem, such …
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 …
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 …
Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery
The leaf, which is a crucial indicator for evaluating crop status, plays an important role in
plants' functions. Determining and monitoring leaf parameters can facilitate the detection …
plants' functions. Determining and monitoring leaf parameters can facilitate the detection …
Improving circularity in municipal solid waste management through machine learning in Latin America and the Caribbean
Abstract Machine Learning (ML) consists of a set of methods that allow a system to learn
data patterns and has applications in many stages of MSWM. Improvements in MSWM …
data patterns and has applications in many stages of MSWM. Improvements in MSWM …
Experimental investigation and multi-performance optimization of the leachate recirculation based sustainable landfills using Taguchi approach and an integrated …
Landfill leachates contain harmful substances viz. chemicals, heavy metals, and pathogens,
that pose a threat to human health and the environment. Unattended leachate can also …
that pose a threat to human health and the environment. Unattended leachate can also …
I nternet of things and machine learning‐based approaches in the urban solid waste management: Trends, challenges, and future directions
Solid waste management (SWM) is a crucial management entity in urban cities to handle the
waste from its generation to disposal to accomplish a clean environment. The waste …
waste from its generation to disposal to accomplish a clean environment. The waste …
Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review
Biogas plant operators often face huge challenges in the monitoring, controlling and
optimisation of the anaerobic digestion (AD) process, as it is very sensitive to surrounding …
optimisation of the anaerobic digestion (AD) process, as it is very sensitive to surrounding …
Municipal solid waste forecasting in China based on machine learning models
As the largest producing country of municipal solid waste (MSW) around the world, China is
always challenged by a lower utilization rate of MSW due to a lack of a smart MSW …
always challenged by a lower utilization rate of MSW due to a lack of a smart MSW …
[HTML][HTML] Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills
MJ Zoqi - Global Journal of Environmental Science and …, 2024 - gjesm.net
BACKGROUND AND OBJECTIVES: Leachate recirculation has become a global practice for
anaerobic digestion of municipal solid waste. Implementation of artificial neural networks for …
anaerobic digestion of municipal solid waste. Implementation of artificial neural networks for …