Using machine learning for dynamic authentication in telehealth: A tutorial
Telehealth systems have evolved into more prevalent services that can serve people in
remote locations and at their homes via smart devices and 5G systems. Protecting the …
remote locations and at their homes via smart devices and 5G systems. Protecting the …
Scientometric analysis and critical review on the application of deep learning in the construction industry
The application of deep learning in construction has attracted increasing attention among
researchers in recent years. In this review article, comprehensive scientometric analysis and …
researchers in recent years. In this review article, comprehensive scientometric analysis and …
[PDF][PDF] Using ECG signals in Siamese networks for authentication in digital healthcare systems
P Behrouzi, B Shirkani, M Hazratifard - J ISSN, 2022 - academia.edu
The rapid growth of digital technologies, telehealth, and other digital healthcare systems
have become noticeable worldwide topics. The use of telehealth has grown rapidly …
have become noticeable worldwide topics. The use of telehealth has grown rapidly …
Ensemble Siamese network (ESN) using ECG signals for human authentication in smart healthcare system
M Hazratifard, V Agrawal, F Gebali, H Elmiligi… - Sensors, 2023 - mdpi.com
Advancements in digital communications that permit remote patient visits and condition
monitoring can be attributed to a revolution in digital healthcare systems. Continuous …
monitoring can be attributed to a revolution in digital healthcare systems. Continuous …
Proposing a sparse representational based face verification system to run in a shortage of memory
SM Hazrati Fard, S Hashemi - Multimedia Tools and Applications, 2020 - Springer
Studying face verification has seen tremendous growth over the past years. During the last
decade, with the improvement of system processors and memories, deep learning was …
decade, with the improvement of system processors and memories, deep learning was …
[PDF][PDF] Using Machine Learning for Dynamic Authentication in Telehealth: A Tutorial
Telehealth systems have evolved into more prevalent services that can serve people in
remote locations and at their homes via smart devices and 5G systems. Protecting the …
remote locations and at their homes via smart devices and 5G systems. Protecting the …
Sparse Representation Based on Modified Genetic Algorithm for Classification
A Nozaripour, H Soltanizadeh - Iranian Journal of Science and …, 2022 - Springer
The ℓ 0-norm minimization problem as a non-convex problem is one of the challenges that is
usually solved using the higher norm approximation in most of the sparse representation …
usually solved using the higher norm approximation in most of the sparse representation …
Review of using machine learning in secure IoT healthcare
M Hazratifard, V Agrawal, F Gebali, H Elmiligi… - … Strategic Changes for …, 2023 - Elsevier
The healthcare industry is experiencing a digital transformation through telehealth. As a
result, users' information is at risk of being compromised by intruders. Machine learning can …
result, users' information is at risk of being compromised by intruders. Machine learning can …
[PDF][PDF] Cybersecurity in Blockchain by Secure Identity Management using Long Short Term Memory (LSTM)
DN Kirupanithi, A Antonidoss, G Subathra… - researchgate.net
One of the major technologies in delivering infrastructure and data service requirements at
low cost and with minimal effort is Cloud Computing (CC), which has been implemented in …
low cost and with minimal effort is Cloud Computing (CC), which has been implemented in …