Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Cardiff, Barry"'
This paper introduces TinySaver, an early-exit-like dynamic model compression approach which employs tiny models to substitute large models adaptively. Distinct from traditional compression techniques, dynamic methods like TinySaver can leverage the
Externí odkaz:
http://arxiv.org/abs/2403.17726
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 samples vary in difficulty, a dynamic model that adapts computation bas
Externí odkaz:
http://arxiv.org/abs/2403.01695
Sudden cardiac death and arrhythmia account for a large percentage of all deaths worldwide. Electrocardiography (ECG) is the most widely used screening tool for cardiovascular diseases. Traditionally, ECG signals are classified manually, requiring ex
Externí odkaz:
http://arxiv.org/abs/2206.07648
Using smart wearable devices to monitor patients electrocardiogram (ECG) for real-time detection of arrhythmias can significantly improve healthcare outcomes. Convolutional neural network (CNN) based deep learning has been used successfully to detect
Externí odkaz:
http://arxiv.org/abs/2109.00516
The abnormal pause or rate reduction in breathing is known as the sleep-apnea hypopnea syndrome and affects the quality of sleep of an individual. A novel method for the detection of sleep apnea events (pause in breathing) from peripheral oxygen satu
Externí odkaz:
http://arxiv.org/abs/2108.11468
Over the past several years, the electrocardiogram (ECG) has been investigated for its uniqueness and potential to discriminate between individuals. This paper discusses how this discriminatory information can help in continuous user authentication b
Externí odkaz:
http://arxiv.org/abs/2105.05126
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-hypopnea syndrome, characterized by the abnormal reduction or pause in brea
Externí odkaz:
http://arxiv.org/abs/2105.00528
Publikováno v:
IEEE Open Journal of the Communications Society (IEEE OJ-COMS), Nov. 2020
Non-orthogonal multiple access (NOMA) is being widely considered as a potential candidate to enhance the spectrum utilization in beyond fifth-generation (B5G) communications. In this paper, we derive closed-form expressions for the ergodic rate and o
Externí odkaz:
http://arxiv.org/abs/2011.11692
Publikováno v:
IEEE Transactions on Vehicular Technology 2020
Non-orthogonal multiple access (NOMA) is a potential candidate to further enhance the spectrum utilization efficiency in beyond fifth-generation (B5G) standards. However, there has been little attention on the quantification of the delay-limited perf
Externí odkaz:
http://arxiv.org/abs/2006.16505
IoT wearable devices are widely expected to reduce the cost and risk of personal healthcare. However, ambulatory data collected from such devices are often corrupted or contaminated with severe noises. Signal Quality Indicators (SQIs) can be used to
Externí odkaz:
http://arxiv.org/abs/2002.01279