The evolution of machine learning (ML) algorithms provides researchers and engineers with
state-of-the-art tools to dynamically model complex relationships. The design and operation …

Forecasting of municipal waste generation is a critical challenge for decision making and
planning, because proper planning and operation of a solid waste management system is …

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 can be considered as the biggest
challenge of integrated solid waste management systems, particularly for developing …

Quantity prediction of municipal solid waste (MSW) is crucial for design and programming
municipal solid waste management system (MSWMS). Because effect of various parameters …

Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered
environmental pollutants that are a threat to ecology and human health. Predicting SW …

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 …

Municipal solid waste (MSW) management is a major concern to local governments to
protect human health, the environment and to preserve natural resources. The design and …

Proper management of municipal solid waste is one of the prime matters of concern for
metropolitan cities. To be able to successfully manage the solid waste generated, we need …

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 …