The parameter settings of the RF algorithm after parameter optimization. حسب Xini Fang (20861990)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

الموضوعات:

Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification حسب Vaibhavi Patel (19843282)

Parameter optimization results of the RF model improved by FCM clustering. حسب Xini Fang (20861990)

Evaluation metrics of the models’ performance. حسب Guangwei Liu (181992)

Pseudocode of artificial dragonfly algorithm. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Features selected by optimization algorithms. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

The Hopfield artificial neural network algorithm. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Zimbabwe model outputs on actual and optimized 2016 spending and impact by intervention. حسب Nicole Fraser-Hurt (2636833)

Optimized model prediction performance. حسب Guang Tu (22054865)

Data_Sheet_1_How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework.ZIP حسب Hao Wu (65943)

Côte d’Ivoire model outputs on actual and optimized 2016 spending and impact by care delivery platform. حسب Nicole Fraser-Hurt (2636833)

Training error and accuracy for all HNN models. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Implementation time performance of various HNN-EBkSAT models. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"

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

الموضوعات:

The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus re... حسب Aninda Astuti (21736334)

Armenia model outputs on optimized resource allocation and health impact by EUHC care package (2019 vs. higher budget scenario). حسب Nicole Fraser-Hurt (2636833)

RMSE performance of various HNN-EB<i>k</i>SAT models. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Models’ performance without optimization. حسب Muhammad Usman Tariq (11022141)

"…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …"