Model frame drawing. by Ning Zhao (84707)

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

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

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

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

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

“…The process of designing each model can be divided into three phases. The first phase is feature extraction. …”

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

“…Differences in exhaled gas vorticity and jet penetration depth across different flow models were identified. Finally, combined with the non-iterative algorithm, the optimal strategy of human respiration simulation was proposed. …”

Histogram of final time in our data. by Chung Kit Tam (18548014)

“…<div><p>This study presents a novel approach to modeling the velocity-time curve in 100m sprinting by integrating machine learning algorithms. …”

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

“…The process of designing each model can be divided into three phases. The first phase is feature extraction. …”

UAV delivery routes in Phase 2. by Yingbo Mao (22522192)

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

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

Schematic diagram of cluster centers in Phase 1. by Yingbo Mao (22522192)

Initial vehicle delivery routes in Phase 3. by Yingbo Mao (22522192)

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. …”

Results of ablation experiment. by Ning Zhao (84707)

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

Training process. by Ning Zhao (84707)

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

Data set parameters. by Ning Zhao (84707)

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

Vorticity for RNG <i>k-ε</i>+laminar model, t = 21.06 s. by Feng Gao (3548)

“…Differences in exhaled gas vorticity and jet penetration depth across different flow models were identified. Finally, combined with the non-iterative algorithm, the optimal strategy of human respiration simulation was proposed. …”

Vorticity for only RNG <i>k-ε</i> model, t = 21.06 s. by Feng Gao (3548)

“…Differences in exhaled gas vorticity and jet penetration depth across different flow models were identified. Finally, combined with the non-iterative algorithm, the optimal strategy of human respiration simulation was proposed. …”

Simulated trajectories from real data, optimal schedule, and nearest optimal schedule. by Samuel Christensen (9922554)

Effect of stopping an optimal schedule early. by Samuel Christensen (9922554)

The fault repair and recovery phase flowchart. by Naiwei Tu (22177688)

“…The lower considers the economic effect of the loss during repair and determines the optimal fault repair sequence. Furthermore, an enhanced Nutcracker Optimization algorithm to solve the bilayer model was proposed, determining the dynamic combination of the fault reconfiguration scheme and the repair sequence. …”