AI-powered biometrics for Internet of Things security: A review and future vision

AI Awad, A Babu, E Barka, K Shuaib - Journal of Information Security and …, 2024 - Elsevier
Biometrics is a set of advanced technologies that use the physical or behavioral
characteristics of individuals to provide reliable access control. With the rapid development …

A survey of authentication in internet of things-enabled healthcare systems

MA Khan, IU Din, T Majali, BS Kim - Sensors, 2022 - mdpi.com
The Internet of medical things (IoMT) provides an ecosystem in which to connect humans,
devices, sensors, and systems and improve healthcare services through modern …

Strengthening privacy and data security in biomedical microelectromechanical systems by IoT communication security and protection in smart healthcare

FJ Jaime, A Muñoz, F Rodríguez-Gómez… - Sensors, 2023 - mdpi.com
Biomedical Microelectromechanical Systems (BioMEMS) serve as a crucial catalyst in
enhancing IoT communication security and safeguarding smart healthcare systems. Situated …

Suppression of four wave mixing effect in DWDM system

HR Suresh, V Vinitha, N Girinath, R Karthick - Materials Today …, 2021 - Elsevier
This article discusses the nonlinear effect, four-wave mixing (FWM), which lowers the
performance of optical communication systems. The concept of orthogonal polarization was …

Antecedents and consequences of patients' adoption of the IoT 4.0 for e-health management system: A novel PLS-SEM approach

M Dadhich, S Poddar, KK Hiran - Smart Health, 2022 - Elsevier
This research aims to probe the factors that influence patients' adoption of IoT for Healthcare
4.0. A research framework based on the Unified Theory of Acceptance and Use of …

IoT health devices: exploring security risks in the connected landscape

AO Affia, H Finch, W Jung, IA Samori, L Potter… - IoT, 2023 - mdpi.com
The concept of the Internet of Things (IoT) spans decades, and the same can be said for its
inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable …

[PDF][PDF] Deep learning techniques for COVID-19 detection based on chest X-ray and CT-scan images: a short review and future perspective

MM Mijwil, K Aggarwal, R Doshi, KK Hiran… - Asian J Appl …, 2022 - researchgate.net
Today, humans live in the era of rapid growth in electronic devices that are based on
artificial intelligence, including the significant growth in the manufacture of machines that …

[PDF][PDF] An IoT-based framework for detecting heart conditions using machine learning

M Alnaggar, M Handosa, T Medhat… - International Journal of …, 2023 - academia.edu
A lot of diseases may be preventable if they can be analyzed or predicted from patient
historical and family data. Predicting diagnosis depends on the gathered clinical and …

A comprehensive review on internet of things task offloading in multi-access edge computing

W Dayong, KBA Bakar, B Isyaku, TAE Eisa… - Heliyon, 2024 - cell.com
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs)
are more inclined to offload computing tasks to higher-performance computing servers …

Efficient model for IoT based railway crack detection system

SS Benazer, MS Dawood, SK Ramanathan… - Materials Today …, 2021 - Elsevier
In present's world, transport is a key requirement. The fourth biggest railway set of
connections in India is the human race. This paper discuss about the detection of crack in a …