Applications of machine learning in thermochemical conversion of biomass-A review
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …
produce alternative renewable fuel sources for future energy supply. However, these …
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
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 …
Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation
The use of machine learning techniques in waste management studies is increasingly
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …
Artificial intelligence applications in solid waste management: A systematic research review
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …
environmental, demographic, socio-economic, and legislative parameters. Such complex …
Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review
Solid waste generation and its impact on human health and the environment have long
been a matter of concern for governments across the world. In recent years, there has been …
been a matter of concern for governments across the world. In recent years, there has been …
Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review
RK Oruganti, AP Biji, T Lanuyanger, PL Show… - Science of The Total …, 2023 - Elsevier
The increased water scarcity, depletion of freshwater resources, and rising environmental
awareness are stressing for the development of sustainable wastewater treatment …
awareness are stressing for the development of sustainable wastewater treatment …
A review on municipal solid waste-to-energy trends in the USA
C Mukherjee, J Denney, EG Mbonimpa… - … and Sustainable Energy …, 2020 - Elsevier
This review on current US municipal solid waste-to-energy trends highlighted regional
contrasts on technology adoption, unique challenges of each technology, commonly used …
contrasts on technology adoption, unique challenges of each technology, commonly used …
Recent advances in applications of artificial intelligence in solid waste management: A review
Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …
environmental impacts. However, the current solid waste management practices encounter …
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 …