Time-Series and Machine Learning-Based Waste Prediction Model

Key Points

• This research aims to develop a model for predicting waste generation using time-series analysis and machine learning techniques.
• Analysis of historical waste generation data
• Implementation of machine learning algorithms for prediction
• Assessment of model accuracy through validation techniques
• The model demonstrates improved accuracy in waste prediction
• Findings suggest potential for optimizing waste management practices
• Indicates the effectiveness of machine learning in environmental applications

Abstract