Hyperparameter optimization results. حسب Jiayue Zhang (7832669)

"…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …"

Table2_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX حسب Xing Huang (129439)

"…The spread coefficient was the critical hyper-parameter in the PNN, and the improved gray wolf optimization (IGWO) algorithm was used to realize its efficient automatic optimization. …"

Table1_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX حسب Xing Huang (129439)

"…The spread coefficient was the critical hyper-parameter in the PNN, and the improved gray wolf optimization (IGWO) algorithm was used to realize its efficient automatic optimization. …"

Compare algorithm parameter settings. حسب Qingwen Meng (156386)

"…<div><p>This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …"

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

Schematic diagram of feature template extraction. حسب 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. حسب 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. حسب 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. حسب 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. …"

General structure of COA optimized MNS-YOLO. حسب Jiayue Zhang (7832669)

"…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …"

Statistics of DE optimization results. حسب XiuZhi Qi (18555018)

"…Then, the initial parameters of the convolutional neural network are optimized by differential evolution algorithm, and the optimized SCB-CNN is simulated. …"

Improved random forest algorithm. حسب 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. حسب 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. …"

Classification algorithm of BD. حسب Zhongyuan Lv (1479952)

DBO-VMD optimization method parameters. حسب Xianlin Ren (22783589)

"…This research initially proposes an adaptive variational mode decomposition approach based on dung beetle optimization algorithm to decompose and extract signals. …"

GSE96058 information. حسب Sepideh Zununi Vahed (9861298)

"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"

The performance of classifiers. حسب Sepideh Zununi Vahed (9861298)

"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"

Steps in the extraction of 14 coordinates from the CT slices for the curved MPR. حسب Linus Woitke (22783534)

"…Protruding paths are then eliminated using graph-based optimization algorithms, as demonstrated in f). …"

Visualization on SMAC-25m based on <i>LazyAct</i>. حسب Hongjie Zhang (136127)

"…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the <i>LazyAct</i> algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …"

Algorithm comparison test results. حسب Hang Ren (1312905)