[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions

R Kaur, D Gabrijelčič, T Klobučar - Information Fusion, 2023 - Elsevier
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 …

Secure health monitoring communication systems based on IoT and cloud computing for medical emergency applications

AI Siam, MA Almaiah, A Al-Zahrani… - Computational …, 2021 - Wiley Online Library
Smart health surveillance technology has attracted wide attention between patients and
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

AI Siam, SA Gamel, FM Talaat - Neural Computing and Applications, 2023 - Springer
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 …

Real-time Arabic avatar for deaf-mute communication enabled by deep learning sign language translation

FM Talaat, W El-Shafai, NF Soliman, AD Algarni… - Computers and …, 2024 - Elsevier
Deaf-mute individuals encounter substantial difficulties in their daily lives due to
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) …

A Review of Deep Learning Methods for Photoplethysmography Data

G Nie, J Zhu, G Tang, D Zhang, S Geng, Q Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models

N El-Rashidy, A Sedik, AI Siam, ZH Ali - Neural Computing and …, 2023 - Springer
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 …

Securing Internet-of-Medical-Things networks using cancellable ECG recognition

SA El-Moneim Kabel, GM El-Banby, LA Abou Elazm… - Scientific Reports, 2024 - nature.com
Reinforcement of the Internet of Medical Things (IoMT) network security has become
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

GM El-Banby, LAA Elazm, W El-Shafai… - Complex & Intelligent …, 2024 - Springer
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 …

PBGAN: Learning PPG representations from GAN for time-stable and unique verification system

DY Hwang, B Taha… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a non-invasive physiological signal that captures the
changes in blood volume resulted from heart activity. It carries unique person-specific …