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 …
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 …
Evaluation of PCA and Gamma test techniques on ANN operation for weekly solid waste prediction
Artificial neural networks (ANNs) are suitable for modeling solid waste generation. In the
present study, four training functions, including resilient backpropagation (RP), scale …
present study, four training functions, including resilient backpropagation (RP), scale …
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 …
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 …
Intelligent solid waste classification using deep convolutional neural networks
Parallel to the rapid growth of the population, the rate of consumption is increasing all over
the world; this causes significant increases in the amount of waste. Thanks to the recycling of …
the world; this causes significant increases in the amount of waste. Thanks to the recycling of …
Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
Reliable prediction of municipal solid waste (MSW) generation rates is a significant element
of planning and implementation of sustainable solid waste management strategies. In this …
of planning and implementation of sustainable solid waste management strategies. In this …
Forecasting heterogeneous municipal solid waste generation via Bayesian-optimised neural network with ensemble learning for improved generalisation
Future projections of municipal solid waste (MSW) generation trends can resolve data
inadequacy in formulating a sustainable MSW management framework. Artificial neural …
inadequacy in formulating a sustainable MSW management framework. Artificial neural …
Ai as a driver of efficiency in waste management and resource recovery
LW Ming, J Anderson, F Hidayat… - International …, 2024 - journal.pandawan.id
Effective waste management and resource recovery are essential for maintaining
environmental sustainability. With the increasing volume of waste generated from industrial …
environmental sustainability. With the increasing volume of waste generated from industrial …
The use of modern technology in smart waste management and recycling: artificial intelligence and machine learning
Waste management is one of the primary problem that the world faces irrespective of the
case of developed or developing country. The key issue in the waste management is that the …
case of developed or developing country. The key issue in the waste management is that the …