Table_1_Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation.DOCX حسب Arto J. Hautala (3072576)

"…ECR was programmed in accordance with international guidelines. Risk analysis algorithms (cross-decomposition algorithms) were employed to rank risk factors based on variances in their effects. …"

Comparison analysis of computation time. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

Process flow diagram of CBFD. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

Precision recall curve. حسب Indhumathi S. (19173013)

"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"

Symmetry test result. حسب Jiyong Moon (16819302)

Data_Sheet_1_Tobacco shred varieties classification using Multi-Scale-X-ResNet network and machine vision.docx حسب Qunfeng Niu (13263975)

"…By increasing the multi-scale structure and optimizing the number of blocks and loss function, a new tobacco shred image classification method is proposed based on the MS-X-ResNet (Multi-Scale-X-ResNet) network. …"

Supplementary file 1_Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery.docx حسب Veera Narayana Balabathina (22518524)

"…</p>Methods<p>Thirteen supervised classification algorithms were comparatively evaluated, encompassing traditional spectral/statistical classifiers—Maximum Likelihood, Mahalanobis Distance, Minimum Distance, Parallelepiped, Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and Binary Encoding—and machine learning algorithms including Decision Tree (DT), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN). …"

Fig 12 - حسب Nisha Yadav (366131)

Configuration of training parameters. حسب Fangzhe Chang (20896737)

"…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …"

The principle of surface compression. حسب Fangzhe Chang (20896737)

"…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …"

Accuracy comparison results. حسب Fangzhe Chang (20896737)

"…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …"

Schematic diagram of YOLOv5ds structure. حسب Fangzhe Chang (20896737)

"…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …"

Schematic diagram of YOLOv5ds-RC structure. حسب Fangzhe Chang (20896737)

"…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …"

Cropped image block diagram. حسب Fangzhe Chang (20896737)

"…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …"

DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx حسب Jun Zhang (48506)

"…Utilizing the binary “One-vs-Rest” strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. …"

Extraction and expression of architectural color. حسب Xin Han (1329648)

"…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"

Basic color value distribution map of the street. حسب Xin Han (1329648)

"…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"

SegNet architecture. حسب Xin Han (1329648)

"…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"

Overview of workflow. حسب Xin Han (1329648)

"…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"

Descriptive statistics for the volunteers. حسب Xin Han (1329648)

"…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"