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- research-articleJuly 2024
Detection of COVID-19 in Chest X-Ray Images Using a CNN Model toward Medical Applications
Wireless Personal Communications: An International Journal (WPCO), Volume 137, Issue 1Pages 69–87https://doi.org/10.1007/s11277-024-11309-7AbstractSince the unexpected upsurge of the severe acute respiratory syndrome coronavirus 2 (COVID-19) in 2019, it has rapidly spread all over the world. This viral pandemic has dramatically affected human health and daily life. Recent advances in ...
- brief-reportJuly 2023
A Survey on Smart Wearable Devices for Healthcare Applications
Wireless Personal Communications: An International Journal (WPCO), Volume 132, Issue 1Pages 775–783https://doi.org/10.1007/s11277-023-10639-2AbstractThis paper introduces a survey on recent smart wearable devices used in different fields, especially healthcare applications. A discussion is presented in terms of power supply, wireless technologies, applications, and wearability of these ...
- research-articleJune 2023
Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
- Samy Abd El-Nabi,
- Walid El-Shafai,
- El-Sayed M. El-Rabaie,
- Khalil F. Ramadan,
- Fathi E. Abd El-Samie,
- Saeed Mohsen
Multimedia Tools and Applications (MTAA), Volume 83, Issue 3Pages 9441–9477https://doi.org/10.1007/s11042-023-15054-0AbstractThere are several factors for vehicle accidents during driving such as drivers’ negligence, drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time. Moreover, recent developments in computer vision and artificial ...
- research-articleJune 2023
Automatic modulation recognition using CNN deep learning models
Multimedia Tools and Applications (MTAA), Volume 83, Issue 3Pages 7035–7056https://doi.org/10.1007/s11042-023-15814-yAbstractModulation techniques are widely required in communication applications, especially in wireless communication systems. Thus, it is necessary to classify and recognize types of modulation. Deep learning (DL) models can help precisely recognize the ...
- research-articleMay 2023
Recognition of human activity using GRU deep learning algorithm
Multimedia Tools and Applications (MTAA), Volume 82, Issue 30Pages 47733–47749https://doi.org/10.1007/s11042-023-15571-yAbstractHuman activity recognition (HAR) is a challenging issue in several fields, such as medical diagnosis. Recent advances in the accuracy of deep learning have contributed to solving the HAR issues. Thus, it is necessary to implement deep learning ...
- research-articleJuly 2021
On Architecture of Self-Sustainable Wearable Sensor Node for IoT Healthcare Applications
Wireless Personal Communications: An International Journal (WPCO), Volume 119, Issue 1Pages 657–671https://doi.org/10.1007/s11277-021-08229-1AbstractIn healthcare applications, the remote monitoring of moving patients depends on wearable nodes that should be mobile. Thus, wearable nodes should be power mains-disconnected most of the time to enable natural wandering of patients in the area. ...
- research-articleFebruary 2021
A Self-powered Wearable Wireless Sensor System Powered by a Hybrid Energy Harvester for Healthcare Applications
Wireless Personal Communications: An International Journal (WPCO), Volume 116, Issue 4Pages 3143–3164https://doi.org/10.1007/s11277-020-07840-yAbstractIn this paper, a wearable medical sensor system is designed for long-term healthcare applications. This system is used for monitoring temperature, heartbeat, blood oxygen saturation (SpO2), and the acceleration of a human body in real-time. This ...