Improved DCFE-YOLOv8 algorithm. حسب Lei Zhou (19808)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

The details of the control group. حسب Yule Sun (16015342)

"…Five state-of-the-art evolutionary algorithms are used in the control group. Finally, experimental results demonstrate that the DMBBPSO can provide high precision results for single-objective optimization problems.…"

The flowchart of DMBBPSO. حسب Yule Sun (16015342)

"…Five state-of-the-art evolutionary algorithms are used in the control group. Finally, experimental results demonstrate that the DMBBPSO can provide high precision results for single-objective optimization problems.…"

Example of sample data. حسب Xiying Wang (4859998)

"…To address these problems, a genetic algorithm (GA) is adopted for optimizing the BPNN, and the EGA-BPNN model is used to predict irrigation flow in agricultural fields. …"

Structure of BPNN. حسب Xiying Wang (4859998)

"…To address these problems, a genetic algorithm (GA) is adopted for optimizing the BPNN, and the EGA-BPNN model is used to predict irrigation flow in agricultural fields. …"

The workflow of EGA-BPNN. حسب Xiying Wang (4859998)

"…To address these problems, a genetic algorithm (GA) is adopted for optimizing the BPNN, and the EGA-BPNN model is used to predict irrigation flow in agricultural fields. …"

S1 Data - حسب Xiying Wang (4859998)

"…To address these problems, a genetic algorithm (GA) is adopted for optimizing the BPNN, and the EGA-BPNN model is used to predict irrigation flow in agricultural fields. …"

UK Biobank data wrangling statistics and results. حسب Simeone Marino (81051)

Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... حسب Ramsés Noguez Imm (6658637)

Fusion effectiveness of 6 groups of images. حسب Yandong Liu (11893664)

"…Finally, in the context of a complex fusion process, the multi-agent fusion model performs the fusion task through the collaborative interaction of multiple fusion agents. …"

Overall flowchart of Multi-agent fusion model. حسب Yandong Liu (11893664)

"…Finally, in the context of a complex fusion process, the multi-agent fusion model performs the fusion task through the collaborative interaction of multiple fusion agents. …"

Fusion performance of 3 groups fusion structures. حسب Yandong Liu (11893664)

"…Finally, in the context of a complex fusion process, the multi-agent fusion model performs the fusion task through the collaborative interaction of multiple fusion agents. …"

Fusion rule set. حسب Yandong Liu (11893664)

"…Finally, in the context of a complex fusion process, the multi-agent fusion model performs the fusion task through the collaborative interaction of multiple fusion agents. …"

Optimal Timings Codebook.xlsx حسب Emma Spillane (11249121)

Comparison with existing SOTA techniques. حسب Yasir Khan Jadoon (21433231)

"…The learned weights of the first module are passed to self-attention, extract the most essential features, and can easily discriminate complex human actions. The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. …"

Proposed inverted residual parallel block. حسب Yasir Khan Jadoon (21433231)

"…The learned weights of the first module are passed to self-attention, extract the most essential features, and can easily discriminate complex human actions. The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. …"

Inverted residual bottleneck block. حسب Yasir Khan Jadoon (21433231)

"…The learned weights of the first module are passed to self-attention, extract the most essential features, and can easily discriminate complex human actions. The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. …"

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

"…The learned weights of the first module are passed to self-attention, extract the most essential features, and can easily discriminate complex human actions. The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. …"

Sample classes from the HMDB51 dataset. حسب Yasir Khan Jadoon (21433231)

"…The learned weights of the first module are passed to self-attention, extract the most essential features, and can easily discriminate complex human actions. The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. …"