Recent research has revealed that traditional machine learning methods, such as semi-supervised label propagation and K-nearest neighbors, outperform Transformer-based IV and Instrument Stands models in artifact detection from photoplethysmogram (PPG) signals, mainly when data is limited.This study addresses the underutilization of abundant unlabel
A 70-year old man (OL) was hospitalized due to Dosing Funnel fever (up to 40°C) associated with malaise and abdominal pain.Tests showed hypereosinophilic syndrome, and increased liver and inflammation indexes.Abdominal echography showed a nonhomogeneous liver and the spleen was enlarged.Abdominal computed tomography showed multiple abscesses on th
An increasing number of services are being offered online, which leads to great difficulties in selecting appropriate services during mashup development.There have been many service recommendation studies and achieved remarkable results to alleviate the IV and Instrument Stands issue of service selection challenge.However, they are limited to sugge
Much of the taxi route-planning literature has focused on driver strategies for finding passengers and determining the hot spot pick-up locations using historical global positioning system (GPS) trajectories of taxis based on driver experience, distance from the passenger drop-off location to the next passenger pick-up location and the waiting time