Home ›
Entities
› academia
› VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models
VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models
Research article (IEEE Access, 2025) · cited 14× · AI/ML
VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models
Summary
VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models is a scholarly article[1].
Key Facts
VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/vgg-16-vgg-16-with-random-forest-resnet50-with-svm-and-efficientnetb0-with-xgboost-enhancing-bone-fracture-classificatio
MLA“VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vgg-16-vgg-16-with-random-forest-resnet50-with-svm-and-efficientnetb0-with-xgboost-enhancing-bone-fracture-classificatio.
BibTeX@misc{4ortxyz_vgg-16-vgg-16-with-random-forest-resnet50-with-svm-and-efficientnetb0-with-xgboost-enhancing-bone-fracture-classificatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models}}, year = {2026}, url = {https://4ort.xyz/entity/vgg-16-vgg-16-with-random-forest-resnet50-with-svm-and-efficientnetb0-with-xgboost-enhancing-bone-fracture-classificatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models — https://4ort.xyz/entity/vgg-16-vgg-16-with-random-forest-resnet50-with-svm-and-efficientnetb0-with-xgboost-enhancing-bone-fracture-classificatio (retrieved 2026-05-24)
