Optimize process data and final results by Dawei Wang (471687)

Optimized process of the random forest algorithm. by Hongxia Li (493545)

“…Specific coal mine case studies are conducted to verify the applicability of the optimized random forest algorithm. The experimental results demonstrate that: The optimized random forest model has achieved 100% accuracy in predicting gas explosion disaster of coal mines, while the accuracy of SVM model is only 75%. …”

Training process. by Ning Zhao (84707)

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

The details of the test algorithm. by 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.…”

Process of chromosome selection. by Xiaoxuan Wu (4455202)

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

Parallel plot showing hyperparameter exploration. by Ramona Leenings (11167294)

Schematic diagram of feature template extraction. by Zhigang Song (113445)

“…To overcome this limitation, this paper introduces an optimization scheme based on clustering algorithms to accelerate the facial recognition process within the HE_FaceNet framework. …”

HE_FaceNet error rate. by Zhigang Song (113445)

“…To overcome this limitation, this paper introduces an optimization scheme based on clustering algorithms to accelerate the facial recognition process within the HE_FaceNet framework. …”

Flow chart of system ciphertext clustering. by Zhigang Song (113445)

“…To overcome this limitation, this paper introduces an optimization scheme based on clustering algorithms to accelerate the facial recognition process within the HE_FaceNet framework. …”

HE_FaceNet frame diagram. by Zhigang Song (113445)

“…To overcome this limitation, this paper introduces an optimization scheme based on clustering algorithms to accelerate the facial recognition process within the HE_FaceNet framework. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algor... by Daniela Huppenkothen (9174507)

GA process. by Jianpeng Zhang (528185)

“…Genetic algorithm is utilized to solve and optimize the data, one-dimensional multi-scale convolutional neural network is combined with gated recurrent unit to improve the network intrusion detection model, and finally the detection and defense of industrial control network intrusion is completed. …”

Noninvasive Assessment of hiPSC Differentiation toward Cardiomyocytes Using Pretrained Convolutional Neural Networks and the Channel Pruning Algorithm by Yujie Duan (12207567)

Visual process of feature extraction. by XiuZhi Qi (18555018)

Algorithm comparison test results. by Hang Ren (1312905)

Material parameters. by Dapeng Wang (250459)

“…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”