Search Results for author:
Found 3 papers, 1 papers with code
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder
One of the common and promising deep learning approaches used for medical image segmentation is transformers, as they can capture long-range dependencies among the pixels by utilizing self-attention.
Detecting Anomalous User Behavior in Remote Patient Monitoring
We propose Hidden Markov Model (HMM) based anomaly detection that analyzes normal user behavior in the context of RPM comprising both smart home and smart health devices, and identifies anomalous user behavior.
Future Smart Connected Communities to Fight COVID-19 Outbreak
IoT and smart connected technologies together with data-driven applications can play a crucial role not only in prevention, continuous monitoring, and mitigation of the disease, but also enable prompt enforcement of guidelines, rules and government orders to contain such future outbreaks.
Computers and Society
