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

The evaluation results of each model after five independent operations. حسب Bo Ni (1298154)

Optimization results of different algorithms. حسب Haijian Wang (746739)

"…Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …"

Optimized algorithm framework diagram. حسب Xutao Liu (13006965)

"…The experimental results show that the optimization algorithm can search the optimal feature subset after five iterations on Undefine Classes of 101 (UCF101) dataset, but it needs seven iterations on Human Motion Database 51 (HMDB51) dataset. …"

Optimization flow chart of the AO algorithm. حسب Haijian Wang (746739)

"…Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …"

Comparison of fluoride data before and after noise removal. حسب Li Wang (15202)

Algorithm training accuracy experiments. حسب Yingying Liu (360782)

Kappa coefficients for different algorithms. حسب Yingying Liu (360782)

Comparison before and after the removal of Chl-a data noise. حسب Li Wang (15202)

Model frame drawing. حسب 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. …"

Curve of greedy factor with the number of iterations after the introduction of arctangent function. حسب Li Wang (15202)

Flow chart of updating Q table after the introduction of weight parameters. حسب Li Wang (15202)

Weighted covariance matrix based GEDM model. حسب 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. …"

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

Before and after optimization design variables. حسب Nanqi Li (11640083)

Optimized system structure. حسب Xutao Liu (13006965)

"…The experimental results show that the optimization algorithm can search the optimal feature subset after five iterations on Undefine Classes of 101 (UCF101) dataset, but it needs seven iterations on Human Motion Database 51 (HMDB51) dataset. …"

Displacement response comparison between ergodic search and traditional PS when <i>μ</i> remains constant. حسب Jianwei Liu (163716)

Trained dataset after preprocessing. حسب Parthiban Aravamudhan (15338781)

"…Fast Region-Based Convolution Neural Network (Fast R-CNN), a deep convolution network is implemented to develop an efficient and adaptable IDS. After hunting many research papers and articles, “Gradient Boosting” is found to be a powerful optimizer algorithm that gives us a best results when compared to other existing methods. …"

Test dataset after preprocessing. حسب Parthiban Aravamudhan (15338781)

"…Fast Region-Based Convolution Neural Network (Fast R-CNN), a deep convolution network is implemented to develop an efficient and adaptable IDS. After hunting many research papers and articles, “Gradient Boosting” is found to be a powerful optimizer algorithm that gives us a best results when compared to other existing methods. …"

Flow chart of density peak clustering algorithm. حسب 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. …"