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:

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

"…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"

Feature selection process. حسب Balraj Preet Kaur (20370832)

The performance of classifiers based on 60 selected mRNAs. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

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:

Selected mRNAs based on association rule mining analysis, for early and late stages of PTC. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

The maximum accuracy (lowest error rate) with the least number of ANOVA-ranked genes achieved by different feature filtering methods and classification algorithms refined by SIRRFE... حسب Song Cui (553627)

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging حسب D. Andrew Brown (6584837)

Dataset selection process and exclusion criteria. حسب Seung Seog Han (4782486)

The performance of the SVM classifier based on 60 (30 plus 30-zeroed) selected mRNAs for GSE 60542 dataset. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

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

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

الموضوعات:

Top mRNAs based on repeat count in early-stage and late-stage rules. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

Twenty of the top early-stage and late-stage rules based on sorted lift value. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

Performance of the ceRNAR package using synthetic data with randomly selected correlation values from 0.8 to 0.9. حسب Yi-Wen Hsiao (13767916)

Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9. حسب Yi-Wen Hsiao (13767916)

Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.5 to 0.7. حسب Yi-Wen Hsiao (13767916)

Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.4. حسب Yi-Wen Hsiao (13767916)

Medium-scale dataset comparative analysis using the number of features selected. حسب Olaide N. Oyelade (14047002)

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