Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …

Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …

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 …

Reliable forecast of municipal solid waste (MSW) generation is crucial for sustainable and
efficient waste management. Big data analysis is a novel method to forecast MSW more …

Construction and demolition waste (DW) generation information has been recognized as a
tool for providing useful information for waste management. Recently, numerous …

Future projections of municipal solid waste (MSW) generation trends can resolve data
inadequacy in formulating a sustainable MSW management framework. Artificial neural …

This paper presents the first mile problem of the circular economy supply chains: organizing
the collection of used materials from individual consumers. Efficient solving of this problem is …

Predicting medical waste (MW) properly is vital for an effective waste management system
(WMS), but it is difficult because of inadequate data and various factors that impact MW. This …

Municipal solid waste (MSW) generation forecasting has become an important tool for
decision-making in urban environments, not only due to its essential role in effective waste …

Proper pH control is important to the neutralization of industrial wastewater that will facilitate
downstream biological treatment and can strongly affect the utilization of chemical …