IEEE

Integrating NLP And IoT for Concept Extraction from Drug Label Images using Advanced Learning Models

Abstract: This study focuses on enhancing the current technology for identifying the medical concepts in the drug-labeled image by utilizing NLP and IoT to synthesize all the gathered knowledge into a ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...