Most of the developing countries have solid waste management problems. Solid waste
strategic planning requires accurate prediction of the quality and quantity of the generated …

Sustainable planning of waste management is contingent on reliable data on waste
characteristics and their variation across the seasons owing to the consequential …

Integrated large-scale solid waste management (SWM) policies are the need of the hour to
design, develop and sustain SWM models. An accurate prediction and forecasting of …

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 …

With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …

Municipal solid waste (MSW) amount has direct influence on MSW management, policy-
decision making, and MSW treatment methods. Machine learning has great potential for …

Municipal solid waste (MSW) management has become a highly challenging issue for many
countries at different levels of development since the growth of population and urbanisation …

This study presents a new approach—preprocessing for reaching the stationary chain in
time series—to unravel the interpolating problem of artificial neural networks (ANN) for long …

Municipal solid waste (MSW) is a result of human activities. Accurate forecasting of MSW
generation is crucial for sustainable management systems and planning. MSW is …

Public health of inhabitants has been affected by the increase of unsound waste
management in the cities of developing countries. Solid waste management has received …