26 citations · 74 across the 21 of their papers we have counts for
22 papers
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang, Guoxin Wang, Barry Cardiff +1
This paper presents ORXE, a modular and adaptable framework for achieving real-time configurable efficiency in AI models. By leveraging a collection of pre-trained experts with div…
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
Xiaolin Li, Binhua Huang, Barry Cardiff +1
DCentNet is a novel decentralized multistage signal classification approach designed for biomedical data from IoT wearable sensors, integrating early exit points (EEP) to enhance e…
A Review on Multisensor Data Fusion for Wearable Health Monitoring
Arlene John, Barry Cardiff, Deepu John
The growing demand for accurate, continuous, and non-invasive health monitoring has propelled multi-sensor data fusion to the forefront of healthcare technology. This review aims t…
Tiny Models are the Computational Saver for Large Models
Qingyuan Wang, Barry Cardiff, Antoine Frappé +2
This paper introduces TinySaver, an early-exit-like dynamic model compression approach which employs tiny models to substitute large models adaptively. Distinct from traditional co…
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…
Classification of ECG based on Hybrid Features using CNNs for Wearable Applications
Li Xiaolin, Fang Xiang, Rajesh C. Panicker +2
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 dise…
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…
SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches
Arlene John, Koushik Kumar Nundy, Barry Cardiff +1
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…
Continuous User Authentication using IoT Wearable Sensors
Conor Smyth, Guoxin Wang, Rajesh Panicker +3
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 d…
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…
NOMA-Based Cooperative Relaying with Receive Diversity in Nakagami-m Fading Channels
Vaibhav Kumar, Barry Cardiff, Mark F Flanagan
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 th…
Delay Violation Probability and Effective Rate of Downlink NOMA over - Fading Channels
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya +1
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…
A Generalized Signal Quality Estimation Method for IoT Sensors
Arlene John, Barry Cardiff, Deepu John
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 contaminate…
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya +1
Non-orthogonal multiple access (NOMA) has drawn tremendous attention, being a potential candidate for the spectrum access technology for the fifth-generation (5G) and beyond 5G (B5…
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint
Vaibhav Kumar, Barry Cardiff, Mark. F. Flanagan
Non-orthogonal multiple access (NOMA) and spectrum sharing (SS) are two emerging multiple access technologies for efficient spectrum utilization in future wireless communications s…
Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Non-orthogonal multiple access (NOMA) is widely recognized as a potential multiple access technology for efficient radio spectrum utilization in the fifth-generation (5G) wireless…
On the Performance of NOMA-based Cooperative Relaying with Receive Diversity
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Non-orthogonal multiple access (NOMA) is widely recognized as a potential multiple access (MA) technology for efficient spectrum utilization in the fifth-generation (5G) wireless s…
User-Antenna Selection for Physical-Layer Network Coding based on Euclidean Distance
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
In this paper, we present the error performance analysis of a multiple-input multiple-output (MIMO) physical-layer network coding (PNC) system with two different user-antenna selec…
Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying
Vaibhav Kumar, Barry Cardiff, Mark. F. Flanagan
Non-orthogonal multiple access (NOMA) and spectrum sharing (SS) are two emerging multiple access technologies for efficient spectrum utilization in the fifth-generation (5G) wirele…
dockChain: A Solution for Electric Vehicles Charge Point Anxiety
J. O'Connell, B. Cardiff, R. Shorten
This paper addresses Charge Point Anxiety surrounding electric vehicles (EVs), an issue preventing the mass adoption of this greener mode of transport. We discuss the design and im…
Physical-Layer Network Coding with Multiple Antennas: An Enabling Technology for Smart Cities
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Efficient heterogeneous communication technologies are critical components to provide flawless connectivity in smart cities. The proliferation of wireless technologies, services an…
Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Physical-layer network coding (PNC) is now well-known as a potential candidate for delay-sensitive and spectrally efficient communication applications, especially in two-way relay…