The Interoperability Blueprint: Architecting Scalable Data Ecosystems For Global Healthcare

A common pitfall in digital healthcare is treating data governance as a secondary compliance task rather than a foundational ...
Frontiers

Data-Driven Approaches for Sustainable Geoscience: Machine Learning in Mineral Resources, Water Management, and Environmental Resilience

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
IEEE

Res-UNet-GRU: A Data-Driven Near-Field Sensing Approach in ISAC-Based Low-Altitude Networks

Abstract: The rise of the low-altitude network (LAN) has driven the demand for situational awareness in dynamic environments, where integrated sensing and communication (ISAC) serves as a key enabler.
IEEE

A Data-Driven Approach to Mitigate Evolving Volumetric Attacks in Programmable Networks

Abstract: In-network machine learning (ML) offers a cutting-edge approach for promptly detecting malicious traffic. Existing methods often rely on one-size-fits-all ML models that fail to adapt to ...