One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

Feature selection ratio results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Feature selection process. حسب Balraj Preet Kaur (20370832)

The result of the accuracy of tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Best fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Mean fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Standard deviation of fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Study selection. حسب Sebastião Rogério da Silva Neto (11944944)

List of selected mRNAs in the feature selection step. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب Hussein Ali Bardan (21976208)

"…This strategy </p><p dir="ltr">not only improves detection efficiency and accuracy but also supports early diagnosis and treatment planning, </p><p dir="ltr">leading to better patient outcomes. By leveraging the binary GWO algorithm to optimize the feature selection </p><p dir="ltr">process and CNNs for image classification, the proposed approach reduces computational costs while increasing </p><p dir="ltr">classification accuracy. …"

Boxplots analysis of the tested algorithms using average error rate across 21 datasets. حسب Nebojsa Bacanin (13932723)

الموضوعات:

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC12. حسب Aninda Astuti (21736334)

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC11. حسب Aninda Astuti (21736334)

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC10. حسب Aninda Astuti (21736334)

Control parameter settings for comparative feature selection methods. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Related Work Summary. حسب Hend Bayoumi (22693738)

S1 Dataset - Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction حسب Nebojsa Bacanin (13932723)

الموضوعات:

Binary sentiment polarity distribution of tweets. حسب Mohamed Kentour (11785652)