Image2_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image4_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image5_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image6_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image12_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image1_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image8_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image9_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image7_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image11_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image3_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

User activity risk standards table. by Yao Hu (3479972)

Results of KNN. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Comparison of key techniques in their literature. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Ensemble model architecture. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

SHAP analysis mean value. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Proposed methodology. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Comparison table of the proposed model. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

SHAP analysis. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Confusion matrix of ensemble model. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”