Temperature sensor 3 sample data and data curve after noise reduction. by Tang Ruipeng (20141334)

The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

Construction process of RF. by Xini Fang (20861990)

“…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties by Tamara Cantú Maltauro (15199725)

Parameter estimation process and performance. by Gennady Gorin (8466255)

Weights of sample data. by Yixuan Lu (9987980)

Example of subsampling process. by Sofia P. Miranda (11418930)

The feature selection process of the IG-GPSO. by Fangyuan Yang (2567629)

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

Area under the ROC and PR curves for medicated patients, using the original and SMOTE sample data. by João Albuquerque (12936572)

The feature ranking grouping process of the IG-GPSO. by Fangyuan Yang (2567629)

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. …”

Action potential of sample points in model 1. by Hang Zhao (143592)

Action potential of sample points in model 2. by Hang Zhao (143592)

Action potential of sample points in model 0. by Hang Zhao (143592)

Sample images from the BreakHis dataset. by Afnan M. Alhassan (18349378)

Unit cell distribution of the indexed HEWL images processed by by Ki Hyun Nam (5813819)

Subjects:

Unit cell distribution of the indexed GI images processed by by Ki Hyun Nam (5813819)

Subjects:

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. …”

Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)