A survey on security and privacy of 5G technologies: Potential solutions, recent advancements, and future directions

R Khan, P Kumar, DNK Jayakody… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Security has become the primary concern in many telecommunications industries today as
risks can have high consequences. Especially, as the core and enable technologies will be …

[HTML][HTML] Human vital signs detection methods and potential using radars: A review

M Kebe, R Gadhafi, B Mohammad, M Sanduleanu… - Sensors, 2020 - mdpi.com
Continuous monitoring of vital signs, such as respiration and heartbeat, plays a crucial role
in early detection and even prediction of conditions that may affect the wellbeing of the …

A survey on energy efficient narrowband internet of things (NBIoT): architecture, application and challenges

S Popli, RK Jha, S Jain - IEEE access, 2018 - ieeexplore.ieee.org
The advancement of technologies over years has poised Internet of Things (IoT) to scoop
out untapped information and communication technology opportunities. It is anticipated that …

Provably-secure logic locking: From theory to practice

M Yasin, A Sengupta, MT Nabeel, M Ashraf… - Proceedings of the …, 2017 - dl.acm.org
Logic locking has been conceived as a promising proactive defense strategy against
intellectual property (IP) piracy, counterfeiting, hardware Trojans, reverse engineering, and …

[HTML][HTML] Internet of things in medicine: A systematic mapping study

F Sadoughi, A Behmanesh, N Sayfouri - Journal of biomedical informatics, 2020 - Elsevier
Context The current studies on IoT in healthcare have reviewed the uses of this technology
in a combination of healthcare domains, including nursing, rehabilitation sciences, ambient …

Heart disease detection using deep learning methods from imbalanced ECG samples

A Rath, D Mishra, G Panda, SC Satapathy - Biomedical Signal Processing …, 2021 - Elsevier
Heart disease (HD) is a fatal disease which takes the lives of maximum people compared to
other diseases across the world. Early and accurate detection of the disease will help to …

Keynote: A disquisition on logic locking

A Chakraborty, NG Jayasankaran, Y Liu… - … on Computer-Aided …, 2019 - ieeexplore.ieee.org
The fabless business model has given rise to many security threats, including piracy of
intellectual property (IP), overproduction, counterfeiting, reverse engineering (RE), and …

Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook

MAG Santos, R Munoz, R Olivares, PP Rebouças Filho… - Information …, 2020 - Elsevier
Abstract The Internet of Health Things promotes personalized and higher standards of care.
Its application is diverse and attracts the attention of a substantial section of the scientific …

A 13.34 μW Event-Driven Patient-Specific ANN Cardiac Arrhythmia Classifier for Wearable ECG Sensors

Y Zhao, Z Shang, Y Lian - IEEE transactions on biomedical …, 2019 - ieeexplore.ieee.org
Artificial neural network (ANN) and its variants are favored algorithm in designing cardiac
arrhythmia classifier (CAC) for its high accuracy. However, the implementation of ultralow …

[HTML][HTML] A novel machine learning model with Stacking Ensemble Learner for predicting emergency readmission of heart-disease patients

A Ghasemieh, A Lloyed, P Bahrami, P Vajar… - Decision Analytics …, 2023 - Elsevier
Early detection of heart complications is highly effective in treating patients with
cardiovascular diseases. Various machine learning methods have previously been used for …