Time-Series and Machine Learning-Based Waste Prediction Model

Q: What does this research mean for the field?

A time-series and machine learning-based model can accurately predict municipal solid waste generation. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

B. Hariharan; C.G. Anupama; S.A.I. Manoj Yarlagadda; Suhas S. R

doi:10.1504/ijewm.2025.10076402

January 1, 2025International Journal of Environment and Waste Management

Time-Series and Machine Learning-Based Waste Prediction Model

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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

Implication

Prediction models utilize time-series and machine learning to enhance waste management, indicating potential environmental benefits.

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Cite This Study

Hariharan et al. (2025) studied this question.

synapsesocial.com/papers/69994ad4873532290d01f24e https://doi.org/10.1504/ijewm.2025.10076402

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Time-Series and Machine Learning-Based Waste Prediction Model

Key Points

Implication

Abstract

Discussion

Cite This Study

Time-Series and Machine Learning-Based Waste Prediction Model

Key Points

Implication

Abstract

Discussion

Cite This Study

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