Best optimizer results of KNN. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Proposed Algorithm. حسب Hend Bayoumi (22693738)

Best optimizer results of Decision tree. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Best optimizer result for Adaboost classifier. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Best optimizer results for random forest. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Best optimizer results of Decision tree. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Best optimizer results of Extra tree. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Best optimizer results of Random Forest. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Best optimizer result for Extra tree. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm حسب Z.Y. Algamal (5547620)

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. حسب Olaide N. Oyelade (14047002)

الموضوعات:

Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization حسب Sandeep Jagonda Patil (22048337)

"…To tackle these challenges, this paper proposes the Blockchain Based Trusted Distributed Routing Scheme for MANET using Latent Encoder Coupled Generative Adversarial Network Optimized with Binary Emperor Penguin Optimizer (LEGAN-BEPO-BCMANET). …"

ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

Results of KNN. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

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

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

Ensemble model architecture. حسب Balraj Preet Kaur (20370832)

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"

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

"…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …"