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 ...
Abstract: Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is crucial for the safety and reliability of electric vehicles (EVs). Although data-driven approaches have been ...
Ultimately, the QUANTUM tool aims to foster trust in health data across Europe by promoting reliable, reusable datasets that can be confidently shared within the European Health Data Space.