A small fraction of frequent Emergency Department (ED) users contributes disproportionately to ED visits. Frequent ED users are at higher risk of poor healthcare outcomes. …
Advancements in machine learning techniques have encouraged scholars to focus on convolutional neural network (CNN) based solutions for object detection and pose estimation tasks. Most …
Glioblastoma is an aggressive form of brain cancer that accounts for around 52% of all primary brain tumors. Accurate survival outcome prediction for glioblastoma is …
The iTrapz is an instrumented replacement trapezium that can convert in vivo strain gauge readings into loading data, then wirelessly transmit it. The device’s load …
To better understand and identify the four top quark production event in proton-proton collisions at the Large Hadron Collider, a machine learning approach is used. …