Advanced machine learning framework for predicting municipal solid waste generation trends toward resilient and environmentally sustainable urban development

Key Points

• The central aim is to develop a machine learning framework to predict trends in municipal solid waste generation.
• Utilized advanced machine learning algorithms to analyze waste generation data.
• Focused on predicting future trends to support urban development.
• Emphasized resilience and sustainability in urban planning.
• Predictions indicate significant trends in waste generation patterns over time.
• The framework provides actionable insights for urban planners to enhance sustainability efforts.
• Demonstrated effectiveness in improving waste management strategies.

Abstract