Recently, with the advancement of the Internet of Things (IoT), WiFi
CSI...
Multimodal electronic health record (EHR) data are widely used in clinic...
In this letter, we develop an ℓ_2-box maximum likelihood (ML)
formulatio...
Though technical advance of artificial intelligence and machine learning...
Black-box nature hinders the deployment of many high-accuracy models in
...
Due to the characteristics of COVID-19, the epidemic develops rapidly an...
Because of its important role in health policy-shaping, population healt...
Deep learning-based health status representation learning and clinical
p...
Drug-drug interactions (DDIs) are a major cause of preventable
hospitali...
Worker recruitment is a crucial research problem in Mobile Crowd Sensing...
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). Whil...
With the advent of seamless connection of human, machine, and smart thin...
Mobile Crowd Sensing (MCS) is the special case of crowdsourcing, which
l...