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[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions
Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
Secure health monitoring communication systems based on IoT and cloud computing for medical emergency applications
Smart health surveillance technology has attracted wide attention between patients and
professionals or specialists to provide early detection of critical abnormal situations without …
professionals or specialists to provide early detection of critical abnormal situations without …
Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques
Stress is now thought to be a major cause to a wide range of human health issues. However,
many people may ignore their stress feelings and disregard to take action before serious …
many people may ignore their stress feelings and disregard to take action before serious …
Real-time Arabic avatar for deaf-mute communication enabled by deep learning sign language translation
Deaf-mute individuals encounter substantial difficulties in their daily lives due to
communication impediments. These individuals may encounter difficulties in social contact …
communication impediments. These individuals may encounter difficulties in social contact …
Portable and real-time IoT-based healthcare monitoring system for daily medical applications
AI Siam, MA El-Affendi, A Abou Elazm… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Remote healthcare and telemedicine technology have witnessed a large and rapid
development in the last decade with the large development of the Internet of Things (IoT) …
development in the last decade with the large development of the Internet of Things (IoT) …
A Review of Deep Learning Methods for Photoplethysmography Data
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models
Emergency medicine (EM) is one of the attractive research fields in which researchers
investigate their efforts to diagnose and treat unforeseen illnesses or injuries. There are …
investigate their efforts to diagnose and treat unforeseen illnesses or injuries. There are …
Securing Internet-of-Medical-Things networks using cancellable ECG recognition
Reinforcement of the Internet of Medical Things (IoMT) network security has become
extremely significant as these networks enable both patients and healthcare providers to …
extremely significant as these networks enable both patients and healthcare providers to …
Security enhancement of the access control scheme in IoMT applications based on fuzzy logic processing and lightweight encryption
Abstract Security of Internet-of-Medical-Things (IoMT) networks has evolved as a vital issue
in recent years. The IoMT networks are designed to link patients with caregivers. All reports …
in recent years. The IoMT networks are designed to link patients with caregivers. All reports …
PBGAN: Learning PPG representations from GAN for time-stable and unique verification system
Photoplethysmography (PPG) is a non-invasive physiological signal that captures the
changes in blood volume resulted from heart activity. It carries unique person-specific …
changes in blood volume resulted from heart activity. It carries unique person-specific …