8 citations · 15 across the 9 of their papers we have counts for
3 papers · 1 filter
DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling
Qingyuan Wang, Barry Cardiff, Antoine Frappé +2
Conventional deep learning (DL) model compression and scaling methods focus on altering the model's components, impacting the results across all samples uniformly. However, since s…
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices
Xiaolin Li, Rajesh Panicker, Barry Cardiff +1
Using smart wearable devices to monitor patients electrocardiogram (ECG) for real-time detection of arrhythmias can significantly improve healthcare outcomes. Convolutional neural…
A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors
Arlene John, Barry Cardiff, Deepu John
Internet of Things (IoT) enabled wearable sensors for health monitoring are widely used to reduce the cost of personal healthcare and improve quality of life. The sleep apnea-hypop…