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

Performance of the final model on the test set. by Amirmohammad Shahbandegan (14265549)

Subjects:

Algorithm flow chart. by Zhiqiang Chen (218692)

Subjects:

Framework of the multilabel classification algorithm. by Zhiqiang Chen (218692)

Subjects:

Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

Experimental comparisons of single category indexes under different algorithms. by Zhiqiang Chen (218692)

Subjects:

Hyperparameter optimization results. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Final Path Smoothing Optimization: Step-by-step results of smoothing optimization applied to the adjusted path. It shows how the path becomes more continuous and efficient through... by Yan Chen (4308)

Comparison of annotation precision for single category labels using different algorithms. by Zhiqiang Chen (218692)

Subjects:

ROC and PR curve of the final model trained using the complete training set. by Amirmohammad Shahbandegan (14265549)

Subjects:

Model results for daily COVID-19 caused deaths after every step of the iterative optimization algorithm. by Martin Bicher (10852788)

Overall rankings of single-objective optimization algorithms. by Máté Mohácsi (20469514)

Model results for daily COVID-19 caused deaths for simulations performed during the second step of the optimization algorithm. by Martin Bicher (10852788)

General structure of COA optimized MNS-YOLO. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Posterior predictive check (PPC) of the final nutritional effect model. by Jari Turkia (17912475)

Model comparison experiment. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Performance of COA on different models. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

Accumulated model results for daily COVID-19 caused deaths for all the simulations performed during the iterative optimization. by Martin Bicher (10852788)

Membership function of each target. by Tianrui Zhang (2294542)

I-NSGA-II-RF algorithm. by Xiaohua Zeng (793632)

“…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …”