Home ›
Entities
› academia
› Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques
Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques
Research article (Bulletin of Electrical Engineering and Informatics, 2023) · cited 17× · AI/ML
Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques
Summary
Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques is a scholarly article[1].
Key Facts
Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques'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). Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/toward-enhanced-skin-disease-classification-using-a-hybrid-rf-dnn-system-leveraging-data-balancing-and-augmentation-tech
MLA“Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/toward-enhanced-skin-disease-classification-using-a-hybrid-rf-dnn-system-leveraging-data-balancing-and-augmentation-tech.
BibTeX@misc{4ortxyz_toward-enhanced-skin-disease-classification-using-a-hybrid-rf-dnn-system-leveraging-data-balancing-and-augmentation-tech_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques}}, year = {2026}, url = {https://4ort.xyz/entity/toward-enhanced-skin-disease-classification-using-a-hybrid-rf-dnn-system-leveraging-data-balancing-and-augmentation-tech}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques — https://4ort.xyz/entity/toward-enhanced-skin-disease-classification-using-a-hybrid-rf-dnn-system-leveraging-data-balancing-and-augmentation-tech (retrieved 2026-05-24)
