Machine learning prediction algorithm flow chart. حسب Ahmad M. Al-Omari (20460931)

Classification accuracy of different methods. حسب Guanqun Wang (705958)

"…Based on the cluster category centers, the typical characteristics of different customer types are analyzed. Furthermore, four widely recognized machine learning methods are employed to classify the clustering results, achieving over 95% classification accuracy on the test set. …"

PFC value of algorithms on two datasets. حسب Xing Chen (140292)

"…The experimental results demonstrate that compared to other filling algorithms, the data matrix filled by the proposed algorithm in this paper has more evident practical significance, fewer errors, and higher accuracy in downstream classification prediction.…"

Topic classification based on KeyBERT-TextCNN. حسب Lin Qi (128224)

Results of the sensor data detection model using the 2-classification CMHS dataset. حسب Tao Yang (184280)

Results of the sensor data detection model using the 2-classification WADI dataset. حسب Tao Yang (184280)

The number of various types in the DOTA. حسب Xuhui Liu (546025)

"…First, this paper designs a ship object fine-grained feature extraction backbone (Mamba-ReResNet, M-ReResNet), which selects and reconstructs the unique features of different types of ship objects through the Mamba’s selective memory to improve the algorithm’s ability to extract fine-grained features. …"

Image 1_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.tiff حسب Yixin Guo (3923948)

Image 3_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.tiff حسب Yixin Guo (3923948)

Table 2_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.docx حسب Yixin Guo (3923948)

Image 2_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.pdf حسب Yixin Guo (3923948)

Table 3_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.docx حسب Yixin Guo (3923948)

Table 1_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.docx حسب Yixin Guo (3923948)

Image 4_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.tiff حسب Yixin Guo (3923948)

Feature sets of different types. حسب Huimin Lu (4434682)

"…Finally, we proposed an escape Coati Optimization Algorithm (eCOA) for global optimization to enhance classification performance. …"

Using the Accuracy metric, three model types—naive deep learning models, advanced deep learning models, and the proposed framework—are compared for the binary classification of nor... حسب Amin Ullah (12015113)

Training results for various types of ships. حسب Xuhui Liu (546025)

"…First, this paper designs a ship object fine-grained feature extraction backbone (Mamba-ReResNet, M-ReResNet), which selects and reconstructs the unique features of different types of ship objects through the Mamba’s selective memory to improve the algorithm’s ability to extract fine-grained features. …"

Table 2_New approach to optimize therapy in type 2 diabetes mellitus: the importance of subclassification.docx حسب María José Reyes-Medina (22545905)

"…A new algorithm for the stratified diagnostic classification of type 2 diabetes mellitus is presented. …"

Table 3_New approach to optimize therapy in type 2 diabetes mellitus: the importance of subclassification.docx حسب María José Reyes-Medina (22545905)

"…A new algorithm for the stratified diagnostic classification of type 2 diabetes mellitus is presented. …"

Table 1_New approach to optimize therapy in type 2 diabetes mellitus: the importance of subclassification.docx حسب María José Reyes-Medina (22545905)

"…A new algorithm for the stratified diagnostic classification of type 2 diabetes mellitus is presented. …"