Correspondence to Dr Andreas Höhn, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB, UK; andreas.hoehn{at}glasgow.ac.uk Background Many complex public health ...
Developing AI systems that operate effectively across languages while remaining culturally grounded is a long-standing challenge, particularly in low-resource settings. Synthetic data provides a ...
Abstract: Mixed-initiative frameworks represent one of several different flavors of system design that seek to institute an effective division of labor between automated functionality and human user.
ABSTRACT: Background: Degenerative Disc Disease (DDD) is a highly prevalent condition, with over 400 million people estimated to experience symptomatic DDD annually as of 2018 [1]. Its prevalence ...
Abstract: Neural network-based methods are effective for single fault diagnosis, but compound faults present challenges due to fault characteristics spanning multiple scales. Single-scale feature ...