Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

Weighted covariance matrix based GEDM model. by Ning Zhao (84707)

Subjects:

WSN optimized by different algorithms. by Qingwen Meng (156386)

“…<div><p>This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …”

Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

“…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”

Experimental comparison of different clustering algorithms. by Ning Zhao (84707)

Subjects:

Flowchart of SIMPLE algorithm and PISO algorithm. by Feng Gao (3548)

Flow chart of density peak clustering algorithm. by Ning Zhao (84707)

Subjects:

Recall curve of higher-order hybrid clustering algorithm incorporating LDA model. by Ning Zhao (84707)

Subjects:

Results of ablation experiment. by Ning Zhao (84707)

Subjects:

Model frame drawing. by Ning Zhao (84707)

Subjects:

Training process. by Ning Zhao (84707)

Subjects:

Data set parameters. by Ning Zhao (84707)

Subjects:

Comparison of clustering performance under different text vector formation methods. by Ning Zhao (84707)

Subjects:

Compare algorithm parameter settings. by Qingwen Meng (156386)

“…<div><p>This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …”

Proposed architecture testing phase. by Yasir Khan Jadoon (21433231)

“…The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. The trained model is employed in the testing phase for the feature extraction from the self-attention layer and passed to the shallow wide neural network classifier for the final classification. …”

DataSheet1_A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm.docx by Yuchao Qiao (17064012)

The structure of the Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

“…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”

The bottleneck residual block for Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

“…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”

DeepDate model’s architecture design. by Nour Eldeen Mahmoud Khalifa (19259450)

“…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”

<b>The Application of the Optimized Genetic Algorithm in SerDes Circuit Design</b> by Xuan Wei (18564826)

“…The CDR structure based on phase selector/phase interpolator type is used as the CDR circuit of the high-speed serial interface so that the final circuit function and performance meet the requirements. …”