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. …”

QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm by Z.Y. Algamal (5547620)

“…Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …”

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)