Solid waste (SW) management is a challenge across the globe due to the increasing
diversity of waste characteristics and lack of effective implementation of consistent waste …

Efficient and effective solid waste management requires sufficient ability to predict the
operational capacity of a system correctly. Waste prediction models have been widely …

Reliable construction waste generation data is a prerequisite for any evidence-based waste
management effort, but such data remains scarce in many developing economies owing to …

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 …

Predicting the mass of solid waste generation plays an important role in integrated solid
waste management plans. In this study, the performance of two predictive models, Artificial …

Major-religious festivals hosted in the city of Kerbala, Iraq, annually generate large
quantities of Municipal Solid Waste (MSW) which negatively impacts the environment and …

Detailed prediction of the amounts of municipal solid waste (MSW) is very crucial for
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …

An improved discrete grey multivariable model is designed to forecast the future output
value of the high-tech industries that cover large and medium-sized enterprises (LMEs) in …

Municipal solid waste (MSW) has received extensive attention due to its large output volume
and role in urban mining. Currently the main waste disposal methods in China are sanitary …

Rapid and revolutionary changes in technology and rising demand for consumer electronics
have led to staggering rates of accumulation of electrical and electronic equipment waste …