LAP LAMBERT Academic Publishing

Leveraging AI for Prediction & Management of Biomedical Waste

Name: Leveraging AI for Prediction & Management of Biomedical Waste
Brand: LAP LAMBERT Academic Publishing
SKU: 837f817584a4fcb5a5048e7550f52fb7

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	66,90	Naar shop
	67,99	Naar shop
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Bol This study utilized AI models, including SVM, ET, and GPR, to predict BMW generation across Indian states. PCA, a key feature extraction method, was employed to enhance prediction accuracy, resulting in a PCA-based hybrid model derived from the best-performing approach. Model performance was assessed using RMSE and R² metrics. Pearson correlation analysis, along with two-tailed significance testing, validated the statistical relationships between variables and the proposed BMW generation features. Sensitivity analysis, conducted with non-linear techniques, and the evaluation of eight distinct models provided valuable insights.

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Beschrijving (1)

This study utilized AI models, including SVM, ET, and GPR, to predict BMW generation across Indian states. PCA, a key feature extraction method, was employed to enhance prediction accuracy, resulting in a PCA-based hybrid model derived from the best-performing approach. Model performance was assessed using RMSE and R² metrics. Pearson correlation analysis, along with two-tailed significance testing, validated the statistical relationships between variables and the proposed BMW generation features. Sensitivity analysis, conducted with non-linear techniques, and the evaluation of eight distinct models provided valuable insights.

Lees meer