Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

The Search process of the genetic algorithm. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Comparison of different optimization algorithms. by Hang Zhao (143592)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Line fringe structured light generation process. by Guofeng Qin (11025170)

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Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

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Algorithm comparison test results. by Hang Ren (1312905)

GenSearch algorithm. by Tarun Khajuria (12117309)

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Genetic algorithm flowchart. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Schematic diagram of automatic WB algorithm. by Nan Zhang (46264)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Algorithm pseudocode. by Cheng-jie Chen (22272090)

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Genetic algorithm iteration data chart. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Comparison between different various models used for plant leaf disease detection and classification. by Abdullah Sheneamer (19169236)

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Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

Schematic diagram of the SARIMA algorithm flow. by Yongxin Dai (13796385)

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Noise reduction by the sliding average algorithm. by Yongxin Dai (13796385)

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<b>Robot_gripper_design</b> by Ma Haohao (19780875)

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Stacking five models ROC value. by Abdullah Sheneamer (19169236)

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