Description of multimodal benchmark functions. حسب Yi-Qiang Xia (20161326)

"…Moreover, the Wilcoxon rank sum test is used to verify the effectiveness of the proposed algorithm. …"

F1-scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... حسب Hassan Mehboob (8960273)

Python cv coding screenshots of all developed fingerprints on distinct surfaces. حسب Nisha Yadav (366131)

الموضوعات:

Contrast enhancement of digital images using dragonfly algorithm حسب Soumyajit Saha (19726163)

"…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …"

Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

"…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …"

F1 function and convergence curve graph. حسب Jiangli Yu (4601986)

The mAP and F1-score are achieved by the proposed FD_Net and seven different models. حسب Hassaan Malik (10486121)

الموضوعات:

F1 Score Comparison between WA-YOLO and YOLOv8. حسب LinNa Li (5665885)

الموضوعات:

Predicted F1 score across temporal aggregation levels and BirdNET parameters. حسب Andrew J. Fairbairn (22231970)

F1 iteration curve. حسب Xuan Chen (158617)

Out-of-sample accuracy vs. weighted <i>F</i>-score (comparison to ground-truth) for various clustering algorithms. حسب James Anibal (13899712)

The workflow used to analyze imbalanced and balanced sequences. حسب Solomon Shiferaw Beyene (9143178)

Comparison of run times for training and label prediction on synthetic datasets of increasing sizes (comparing HAL-X with other clustering algorithms routinely used with cytometry... حسب James Anibal (13899712)

Results of test functions (F1-F11) with 50 dimensions. حسب Dingming Yang (8505990)

Results of test functions (F1-F11) with 30 dimensions. حسب Dingming Yang (8505990)

Results of test functions (F1-F11) with 100 dimensions. حسب Dingming Yang (8505990)

Results of unimodal benchmark functions (F1–F7). حسب Xiaofeng Qu (577153)

The process of function F in the improved Blowfish algorithm. حسب Sathish Kaveripakam (16940710)

Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. حسب Laurentius O. Osapoetra (9931759)